Age | Attrition | BusinessTravel | DailyRate | Department | DistanceFromHome | Education | EducationField | EmployeeCount | GUI | EnvironmentSatisfaction | Gender | HourlyRate | JobInvolvement | JobLevel | JobRole | JobSatisfaction | MaritalStatus | MonthlyIncome | MonthlyRate | NumCompaniesWorked | Over18 | OverTime | PercentSalaryHike | PerformanceRating | RelationshipSatisfaction | StandardHours | StockOptionLevel | TotalWorkingYears | TrainingTimesLastYear | WorkLifeBalance | YearsAtCompany | YearsInCurrentRole | YearsSinceLastPromotion | YearsWithCurrManager |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
50.0 | No | Travel_Rarely | 1126.0 | Research & Development | 1.0 | 2 | Medical | 1 | 997 | 4 | Male | 66 | 3 | 4 | Research Director | 4 | Divorced | 17399 | 6615 | 9 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 1 | 2 | 5 | 4 | 1 | 3 |
36.0 | No | Travel_Rarely | 216.0 | Research & Development | 6.0 | 2 | Medical | 1 | 178 | 2 | Male | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 4941 | 2819 | 6 | Y | No | 20 | 4 | 4 | 80 | 2 | 7 | 0 | 3 | 3 | 2 | 0 | 1 |
21.0 | Yes | Travel_Rarely | 337.0 | Sales | 7.0 | 1 | Marketing | 1 | 1780 | 2 | Male | 31 | 3 | 1 | Sales Representative | 2 | Single | 2679 | 4567 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
50.0 | No | Travel_Frequently | 1246.0 | Human Resources | NaN | 3 | Medical | 1 | 644 | 1 | Male | 99 | 3 | 5 | Manager | 2 | Married | 18200 | 7999 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 32 | 2 | 3 | 32 | 5 | 10 | 7 |
52.0 | No | Travel_Rarely | 994.0 | Research & Development | 7.0 | 4 | Life Sciences | 1 | 1118 | 2 | Male | 87 | 3 | 3 | Healthcare Representative | 2 | Single | 10445 | 15322 | 7 | Y | No | 19 | 3 | 4 | 80 | 0 | 18 | 4 | 3 | 8 | 6 | 4 | 0 |
33.0 | Yes | Travel_Rarely | 1277.0 | Research & Development | 15.0 | 1 | Medical | 1 | 582 | 2 | Male | 56 | 3 | 3 | Manager | 3 | Married | 13610 | 24619 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 15 | 2 | 4 | 7 | 6 | 7 | 7 |
47.0 | No | Travel_Rarely | 1001.0 | Research & Development | 4.0 | 3 | Life Sciences | 1 | 1827 | 3 | Female | 92 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10333 | 19271 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 28 | 4 | 3 | 22 | 11 | 14 | 10 |
22.0 | No | Travel_Rarely | 1230.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 872 | 4 | Male | 33 | 2 | 2 | Manufacturing Director | 4 | Married | 4775 | 19146 | 6 | Y | No | 22 | 4 | 1 | 80 | 2 | 4 | 2 | 1 | 2 | 2 | 2 | 2 |
NaN | Yes | Travel_Rarely | 890.0 | Research & Development | 2.0 | 4 | Medical | 1 | 828 | 3 | Male | 46 | 3 | 1 | Research Scientist | 3 | Single | 4382 | 16374 | 6 | Y | No | 17 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 2 | 2 | 2 | 1 |
33.0 | No | Non-Travel | 530.0 | Sales | 16.0 | 3 | Life Sciences | 1 | 1681 | 3 | Female | 36 | 3 | 2 | Sales Executive | 4 | Divorced | 5368 | 16130 | 1 | Y | Yes | 25 | 4 | 3 | 80 | 1 | 7 | 2 | 3 | 6 | 5 | 1 | 2 |
40.0 | No | Travel_Rarely | 630.0 | Sales | 4.0 | 4 | Marketing | 1 | 215 | 3 | Male | 67 | 2 | 3 | Sales Executive | 4 | NaN | 10855 | 8552 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 15 | 2 | 2 | 12 | 11 | 2 | 11 |
27.0 | No | Travel_Frequently | 793.0 | Sales | 2.0 | 1 | Life Sciences | 1 | 1371 | 4 | Male | 43 | 1 | 2 | Sales Executive | 4 | Single | 5071 | 20392 | 3 | Y | No | 20 | 4 | 2 | 80 | 0 | 8 | 3 | 3 | 6 | 2 | 0 | 0 |
40.0 | No | Travel_Rarely | 543.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 2012 | 1 | Male | 83 | 3 | 1 | Laboratory Technician | 4 | Married | 2406 | 4060 | 8 | Y | No | 19 | 3 | 3 | 80 | 2 | 8 | 3 | 2 | 1 | 0 | 0 | 0 |
55.0 | No | Travel_Frequently | 1091.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1096 | 4 | Male | 65 | 3 | 3 | Manufacturing Director | 2 | Married | 10976 | 15813 | 3 | Y | No | 18 | 3 | 2 | 80 | 1 | 23 | 4 | 3 | 3 | 2 | 1 | 2 |
33.0 | Yes | Travel_Rarely | 1017.0 | Research & Development | 25.0 | 3 | Medical | 1 | 1108 | 1 | Male | 55 | 2 | 1 | Research Scientist | 2 | Single | 2313 | 2993 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 5 | 0 | 3 | 2 | 2 | 2 | 2 |
37.0 | Yes | Travel_Rarely | 625.0 | Sales | 1.0 | 4 | Life Sciences | 1 | 970 | 1 | Male | 46 | 2 | 3 | Sales Executive | 3 | Married | 10609 | 14922 | 5 | Y | No | 11 | 3 | 3 | 80 | 0 | 17 | 2 | 1 | 14 | 1 | 11 | 7 |
34.0 | No | Travel_Rarely | 511.0 | Sales | NaN | 2 | Life Sciences | 1 | 1779 | 4 | Female | 32 | 1 | 2 | Sales Executive | 4 | Single | 6029 | 25353 | 5 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
46.0 | No | Travel_Rarely | 168.0 | Sales | 4.0 | 2 | Marketing | 1 | 1280 | 4 | Female | 33 | 2 | 5 | Manager | 2 | Married | 18789 | 9946 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 26 | 2 | 3 | 11 | 4 | 0 | 8 |
38.0 | No | Travel_Rarely | 1245.0 | Sales | 14.0 | 3 | Life Sciences | 1 | 1582 | 3 | Male | 80 | 3 | 2 | Sales Executive | 2 | Married | 9924 | 12355 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 9 | 8 | 7 | 7 |
30.0 | No | Travel_Rarely | 1138.0 | Research & Development | 6.0 | 3 | Technical Degree | 1 | 1311 | 1 | Female | 48 | 2 | 2 | Laboratory Technician | 4 | Married | 4627 | 23631 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 2 | 6 | 7 |
34.0 | No | Travel_Rarely | 829.0 | Human Resources | NaN | 2 | Human Resources | 1 | 847 | 3 | Male | 88 | 3 | 1 | Human Resources | 4 | Married | 3737 | 2243 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 4 | 1 | 1 | 3 | 2 | 0 | 2 |
34.0 | No | Travel_Rarely | 1130.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 1658 | 4 | Female | 66 | 3 | 2 | Research Scientist | 2 | Divorced | 5433 | 19332 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 2 | 3 | 11 | 8 | 7 | 9 |
36.0 | No | Non-Travel | 301.0 | Sales | 15.0 | 4 | Marketing | 1 | 2036 | 4 | Male | 88 | 1 | 2 | Sales Executive | 4 | Divorced | 5406 | 10436 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 15 | 4 | 2 | 15 | 12 | 11 | 11 |
NaN | No | Travel_Rarely | 1146.0 | Human Resources | 26.0 | 4 | Life Sciences | 1 | 2040 | 3 | Female | 31 | 3 | 3 | Human Resources | 4 | Single | 8837 | 16642 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 9 | 0 | 1 | 7 |
NaN | No | Travel_Rarely | 1276.0 | Research & Development | 16.0 | 3 | Life Sciences | 1 | 586 | 4 | Male | 72 | 3 | 3 | Healthcare Representative | 3 | Married | 7632 | 14295 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 0 | 0 |
40.0 | No | Travel_Rarely | 611.0 | Sales | 7.0 | 4 | Medical | 1 | 1740 | 2 | Male | 88 | 3 | 5 | Manager | 2 | Single | 19833 | 4349 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 21 | 3 | 2 | 21 | 8 | 12 | 8 |
24.0 | No | Travel_Rarely | 1353.0 | Sales | NaN | 2 | Other | 1 | 128 | 1 | Female | 33 | 3 | 2 | Sales Executive | 3 | Married | 4999 | 17519 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 4 | 2 | 2 | 3 | 2 | 0 | 2 |
53.0 | No | Travel_Rarely | 1376.0 | Sales | 2.0 | 2 | Medical | 1 | 981 | 3 | Male | 45 | 3 | 4 | Manager | 3 | Divorced | 14852 | 13938 | 6 | Y | No | 13 | 3 | 3 | 80 | 1 | 22 | 3 | 4 | 17 | 13 | 15 | 2 |
32.0 | No | Travel_Rarely | 977.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1671 | 4 | Male | 45 | 3 | 2 | Research Scientist | 2 | Divorced | 5470 | 25518 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 10 | 4 | 2 | 9 | 5 | 1 | 6 |
NaN | Yes | Travel_Frequently | 289.0 | Research & Development | 2.0 | 2 | Medical | 1 | 1504 | 3 | Male | 38 | 2 | 1 | Laboratory Technician | 1 | Single | 2561 | 5355 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 0 | 0 | 0 | 0 |
55.0 | No | Travel_Rarely | 1229.0 | Research & Development | 4.0 | 4 | Life Sciences | 1 | 1501 | 4 | Male | 30 | 3 | 2 | Healthcare Representative | 3 | Married | 4035 | 16143 | 0 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 1 | 2 |
30.0 | No | Travel_Rarely | 317.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 548 | 3 | Female | 43 | 1 | 2 | Manufacturing Director | 4 | Single | 6091 | 24793 | 2 | Y | No | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 3 | 5 | 4 | 0 | 2 |
NaN | Yes | Travel_Frequently | 887.0 | Research & Development | NaN | 2 | Medical | 1 | 848 | 3 | Female | 88 | 2 | 1 | Research Scientist | 3 | Married | 2366 | 20898 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 1 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
23.0 | Yes | Travel_Rarely | 1243.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 811 | 3 | Male | 63 | 4 | 1 | Laboratory Technician | 1 | Married | 1601 | 3445 | 1 | Y | Yes | 21 | 4 | 3 | 80 | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 0 |
51.0 | No | Travel_Rarely | 1169.0 | Research & Development | 7.0 | 4 | Medical | 1 | 211 | 2 | Male | 34 | 2 | 2 | Manufacturing Director | 3 | Married | 6132 | 13983 | 2 | Y | No | 17 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
42.0 | No | Travel_Rarely | 932.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 827 | 4 | Female | 43 | 2 | 2 | Manufacturing Director | 4 | Married | 6062 | 4051 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 4 | 3 | 0 | 2 |
NaN | No | Travel_Rarely | 1343.0 | Research & Development | 27.0 | 1 | Medical | 1 | 856 | 3 | Female | 53 | 2 | 1 | Research Scientist | 1 | Single | 2559 | 17852 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 1 |
NaN | No | Travel_Rarely | NaN | Sales | 1.0 | 3 | Marketing | 1 | 600 | 2 | Male | 85 | 3 | 2 | Sales Executive | 3 | Married | 4717 | 18659 | 9 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 11 | 9 | 6 | 9 |
20.0 | Yes | Travel_Rarely | 1362.0 | Research & Development | 10.0 | 1 | Medical | 1 | 701 | 4 | Male | 32 | 3 | 1 | Research Scientist | 3 | Single | 1009 | 26999 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 1 |
NaN | No | Travel_Rarely | 736.0 | Sales | 26.0 | 3 | Life Sciences | 1 | 1387 | 3 | Male | 48 | 2 | 2 | Sales Executive | 1 | Married | 4724 | 24232 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 0 | 3 | 5 | 3 | 0 | 4 |
29.0 | No | Travel_Rarely | 942.0 | Research & Development | 15.0 | 1 | Life Sciences | 1 | 1202 | 2 | Female | 69 | 1 | 1 | Research Scientist | 4 | Married | 2168 | 26933 | 0 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 5 | 4 | 1 | 3 |
43.0 | No | Travel_Rarely | 982.0 | Research & Development | 12.0 | 3 | Life Sciences | 1 | 520 | 1 | Male | 59 | 2 | 4 | Research Director | 2 | Divorced | 14336 | 4345 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 25 | 3 | 3 | 25 | 10 | 3 | 9 |
40.0 | No | Travel_Frequently | 902.0 | Research & Development | 26.0 | 2 | Medical | 1 | 1180 | 3 | Female | 92 | 2 | 2 | Research Scientist | 4 | Married | 4422 | 21203 | 3 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 16 | 3 | 1 | 1 | 1 | 0 | 0 |
29.0 | No | Travel_Rarely | 1401.0 | Research & Development | 6.0 | 1 | Medical | 1 | 1192 | 2 | Female | 54 | 3 | 1 | Laboratory Technician | 4 | Married | 3131 | 26342 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 5 | 3 | 10 | 8 | 0 | 8 |
46.0 | No | Travel_Rarely | 1319.0 | Sales | NaN | 3 | Technical Degree | 1 | 1863 | 1 | Female | 45 | 4 | 4 | Sales Executive | 1 | Divorced | 13225 | 7739 | 2 | Y | No | 12 | 3 | 4 | 80 | 1 | 25 | 5 | 3 | 19 | 17 | 2 | 8 |
44.0 | Yes | Travel_Frequently | 429.0 | Research & Development | 1.0 | 2 | Medical | 1 | 1792 | 3 | Male | 99 | 3 | 1 | Research Scientist | 2 | Divorced | 2342 | 11092 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 2 | 5 | 3 | 2 | 3 |
47.0 | No | Travel_Rarely | 359.0 | Research & Development | 2.0 | 4 | Medical | 1 | 1443 | 1 | Female | 82 | 3 | 4 | Research Director | 3 | Married | 17169 | 26703 | 3 | Y | No | 19 | 3 | 2 | 80 | 2 | 26 | 2 | 4 | 20 | 17 | 5 | 6 |
32.0 | No | Travel_Frequently | 430.0 | Research & Development | 24.0 | 4 | Life Sciences | 1 | 772 | 1 | Male | 80 | 3 | 2 | Laboratory Technician | 4 | Married | 5309 | 21146 | 1 | Y | No | 15 | 3 | 4 | 80 | 2 | 10 | 2 | 3 | 10 | 8 | 4 | 7 |
38.0 | No | Travel_Rarely | 362.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 662 | 3 | Female | 43 | 3 | 1 | Research Scientist | 1 | Single | 2619 | 14561 | 3 | Y | No | 17 | 3 | 4 | 80 | 0 | 8 | 3 | 2 | 0 | 0 | 0 | 0 |
51.0 | No | Travel_Rarely | 770.0 | Human Resources | NaN | 3 | Life Sciences | 1 | 1352 | 3 | Male | 84 | 3 | 4 | Manager | 2 | Divorced | 14026 | 17588 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 33 | 2 | 3 | 33 | 9 | 0 | 10 |
58.0 | No | Non-Travel | 390.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 422 | 4 | Male | 32 | 1 | 2 | Healthcare Representative | 3 | Divorced | 5660 | 17056 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 12 | 2 | 3 | 5 | 3 | 1 | 2 |
NaN | No | Travel_Rarely | 195.0 | Sales | 1.0 | 3 | Medical | 1 | 620 | 1 | Female | 80 | 3 | 2 | Sales Executive | 3 | Single | 4859 | 6698 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
45.0 | No | Travel_Rarely | 1448.0 | Research & Development | 29.0 | 3 | Technical Degree | 1 | 1465 | 2 | Male | 55 | 3 | 3 | Manufacturing Director | 4 | Married | 9380 | 14720 | 4 | Y | Yes | 18 | 3 | 4 | 80 | 2 | 10 | 4 | 4 | 3 | 1 | 1 | 2 |
56.0 | No | Travel_Rarely | 832.0 | Research & Development | 9.0 | 3 | Medical | 1 | 762 | 3 | Male | 81 | 3 | 4 | Healthcare Representative | 4 | Married | 11103 | 20420 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 30 | 1 | 2 | 10 | 7 | 1 | 1 |
37.0 | No | Travel_Rarely | 124.0 | Research & Development | NaN | 3 | Other | 1 | 1062 | 4 | Female | 35 | 3 | 2 | Healthcare Representative | 2 | Single | 4107 | 13848 | 3 | Y | No | 15 | 3 | 1 | 80 | 0 | 8 | 3 | 2 | 4 | 3 | 0 | 1 |
37.0 | No | Travel_Frequently | 1278.0 | Sales | 1.0 | 4 | Medical | 1 | 1700 | 3 | Male | 31 | 1 | 2 | Sales Executive | 4 | Divorced | 9525 | 7677 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 2 | 2 | 6 | 3 | 1 | 3 |
39.0 | No | Travel_Rarely | 903.0 | Sales | 2.0 | 5 | Life Sciences | 1 | 985 | 1 | Male | 41 | 4 | 3 | Sales Executive | 3 | Single | 7880 | 2560 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 0 | 7 |
NaN | No | Travel_Rarely | 819.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 1182 | 3 | Male | 44 | 2 | 3 | Manufacturing Director | 2 | Divorced | 10274 | 19588 | 2 | Y | No | 18 | 3 | 2 | 80 | 1 | 15 | 2 | 4 | 7 | 7 | 6 | 4 |
54.0 | No | Travel_Rarely | 1082.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 1070 | 3 | Female | 41 | 2 | 3 | Sales Executive | 3 | Married | 10686 | 8392 | 6 | Y | No | 11 | 3 | 2 | 80 | 1 | 13 | 4 | 3 | 9 | 4 | 7 | 0 |
32.0 | No | Non-Travel | 1109.0 | Research & Development | 29.0 | 4 | Medical | 1 | 1046 | 4 | Female | 69 | 3 | 1 | Laboratory Technician | 3 | Single | 4025 | 11135 | 9 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 8 | 7 | 7 | 7 |
48.0 | No | Travel_Rarely | 530.0 | Sales | 29.0 | 1 | Medical | 1 | 473 | 1 | Female | 91 | 3 | 3 | Manager | 3 | Married | 12504 | 23978 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 15 | 3 | 1 | 0 | 0 | 0 | 0 |
33.0 | No | Travel_Frequently | 827.0 | Research & Development | 1.0 | 4 | Other | 1 | 998 | 3 | Female | 84 | 4 | 2 | Healthcare Representative | 2 | Married | 5488 | 20161 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 6 | 2 | 3 | 6 | 5 | 1 | 2 |
31.0 | Yes | Travel_Rarely | 249.0 | Sales | 6.0 | 4 | Life Sciences | 1 | 163 | 2 | Male | 76 | 1 | 2 | Sales Executive | 3 | Married | 6172 | 20739 | 4 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 12 | 3 | 2 | 7 | 7 | 7 | 7 |
46.0 | No | Travel_Rarely | NaN | Sales | 1.0 | 2 | Marketing | 1 | 244 | 2 | Female | 92 | 3 | 3 | Sales Executive | 1 | Divorced | 10453 | 2137 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 24 | 2 | 3 | 24 | 13 | 15 | 7 |
38.0 | No | Travel_Rarely | 688.0 | Research & Development | 23.0 | 4 | Life Sciences | 1 | 393 | 4 | Male | 82 | 3 | 2 | Healthcare Representative | 4 | Divorced | 5745 | 18899 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 2 | 2 | 1 | 2 |
38.0 | No | Travel_Rarely | 1321.0 | Sales | 1.0 | 4 | Life Sciences | 1 | 1995 | 4 | Male | 86 | 3 | 2 | Sales Executive | 2 | Married | 4440 | 7636 | 0 | Y | No | 15 | 3 | 1 | 80 | 2 | 16 | 3 | 3 | 15 | 13 | 5 | 8 |
43.0 | No | Travel_Rarely | 1179.0 | Sales | 2.0 | 3 | Medical | 1 | 1706 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Married | 7847 | 6069 | 1 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 9 | 8 | 8 |
37.0 | No | Travel_Frequently | 889.0 | Research & Development | 9.0 | 3 | Medical | 1 | 403 | 2 | Male | 53 | 3 | 1 | Research Scientist | 4 | Married | 2326 | 11411 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 4 | 3 | 2 | 4 | 2 | 1 | 2 |
39.0 | Yes | Travel_Rarely | 1162.0 | Sales | NaN | 2 | Medical | 1 | 445 | 4 | Female | 41 | 3 | 2 | Sales Executive | 3 | Married | 5238 | 17778 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 0 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 1169.0 | Human Resources | 8.0 | 2 | Medical | 1 | 869 | 2 | Male | 63 | 2 | 1 | Human Resources | 4 | Divorced | 4936 | 23965 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 6 | 6 | 3 | 5 | 1 | 0 | 4 |
NaN | No | Travel_Frequently | 1199.0 | Research & Development | 18.0 | 4 | Life Sciences | 1 | 2049 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5689 | 24594 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 2 | 4 | 10 | 2 | 0 | 2 |
30.0 | No | Travel_Rarely | 288.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 117 | 3 | Male | 99 | 2 | 2 | Healthcare Representative | 4 | Married | 4152 | 15830 | 1 | Y | No | 19 | 3 | 1 | 80 | 3 | 11 | 3 | 3 | 11 | 10 | 10 | 8 |
39.0 | No | Travel_Rarely | 412.0 | Research & Development | 13.0 | 4 | Medical | 1 | 1307 | 3 | Female | 94 | 2 | 4 | Manager | 2 | Divorced | 17123 | 17334 | 6 | Y | Yes | 13 | 3 | 4 | 80 | 2 | 21 | 4 | 3 | 19 | 9 | 15 | 2 |
43.0 | No | Travel_Rarely | NaN | Research & Development | 6.0 | 3 | Medical | 1 | 1866 | 1 | Female | 81 | 2 | 5 | Manager | 3 | Married | 19392 | 22539 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 16 | 12 | 6 | 14 |
27.0 | No | Travel_Rarely | 975.0 | Research & Development | 7.0 | 3 | Medical | 1 | 764 | 4 | Female | 55 | 2 | 2 | Healthcare Representative | 1 | Single | 6811 | 23398 | 8 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 2 | 1 | 7 | 6 | 0 | 7 |
42.0 | No | Travel_Rarely | 462.0 | Sales | 14.0 | 2 | Medical | 1 | 936 | 3 | Female | 68 | 2 | 2 | Sales Executive | 3 | Single | 6244 | 7824 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 10 | 6 | 3 | 5 | 4 | 0 | 3 |
31.0 | No | Travel_Rarely | 471.0 | Research & Development | 4.0 | 3 | Medical | 1 | 1916 | 1 | Female | 62 | 4 | 1 | Laboratory Technician | 3 | Divorced | 3978 | 16031 | 8 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 0 | 2 | 2 | 2 | 2 | 2 |
39.0 | Yes | Travel_Rarely | 1122.0 | Research & Development | 6.0 | 3 | Medical | 1 | 932 | 4 | Male | 70 | 3 | 1 | Laboratory Technician | 1 | Married | 2404 | 4303 | 7 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 8 | 2 | 1 | 2 | 2 | 2 | 2 |
29.0 | No | Travel_Rarely | 694.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1264 | 4 | Female | 87 | 2 | 4 | Research Director | 4 | Divorced | 16124 | 3423 | 3 | Y | No | 14 | 3 | 2 | 80 | 2 | 9 | 2 | 2 | 7 | 7 | 1 | 7 |
49.0 | No | Travel_Frequently | 636.0 | Research & Development | 10.0 | 4 | Life Sciences | 1 | 396 | 3 | Female | 35 | 3 | 5 | Research Director | 1 | Single | 18665 | 25594 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 22 | 4 | 3 | 3 | 2 | 1 | 2 |
38.0 | No | Travel_Rarely | 1404.0 | Sales | 1.0 | 3 | Life Sciences | 1 | 1961 | 1 | Male | 59 | 2 | 1 | Sales Representative | 1 | Single | 2858 | 11473 | 4 | Y | No | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 2 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 1395.0 | Research & Development | 9.0 | 4 | Medical | 1 | 2008 | 2 | Male | 48 | 3 | 2 | Research Scientist | 3 | Single | 5098 | 18698 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 7 | 0 | 8 |
42.0 | No | Travel_Rarely | 810.0 | Research & Development | 23.0 | 5 | Life Sciences | 1 | 468 | 1 | Female | 44 | 3 | 4 | Research Director | 4 | Single | 15992 | 15901 | 2 | Y | No | 14 | 3 | 2 | 80 | 0 | 16 | 2 | 3 | 1 | 0 | 0 | 0 |
31.0 | Yes | Travel_Frequently | 561.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 1537 | 4 | Female | 33 | 3 | 1 | Research Scientist | 3 | Single | 4084 | 4156 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 7 | 2 | 1 | 7 | 2 | 7 | 7 |
34.0 | No | Travel_Rarely | NaN | Sales | 13.0 | 4 | Medical | 1 | 1951 | 4 | Male | 39 | 3 | 3 | Sales Executive | 3 | Divorced | 8628 | 22914 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 9 | 2 | 2 | 8 | 7 | 1 | 1 |
36.0 | No | Travel_Rarely | 1425.0 | Research & Development | 14.0 | 1 | Life Sciences | 1 | 924 | 3 | Male | 68 | 3 | 2 | Healthcare Representative | 4 | Married | 6586 | 4821 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 16 | 8 | 4 | 11 |
27.0 | No | Travel_Frequently | 829.0 | Sales | 8.0 | 1 | Marketing | 1 | 800 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Married | 4342 | 24008 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 2 | 1 | 1 |
40.0 | No | Non-Travel | 1094.0 | Sales | 28.0 | 3 | Other | 1 | 615 | 3 | Male | 58 | 1 | 3 | Sales Executive | 1 | Divorced | 10932 | 11373 | 3 | Y | No | 15 | 3 | 3 | 80 | 1 | 20 | 2 | 3 | 1 | 0 | 0 | 1 |
34.0 | No | Travel_Rarely | 971.0 | Sales | 1.0 | 3 | Technical Degree | 1 | 1535 | 4 | Male | 64 | 2 | 3 | Sales Executive | 3 | Married | 7083 | 12288 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 6 |
43.0 | No | Travel_Rarely | 1001.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 451 | 3 | Female | 43 | 3 | 3 | Healthcare Representative | 1 | NaN | 9985 | 9262 | 8 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 1 | 2 | 1 | 0 | 0 | 0 |
31.0 | No | Travel_Rarely | 326.0 | Sales | 8.0 | 2 | Life Sciences | 1 | 1453 | 1 | Male | 31 | 3 | 3 | Sales Executive | 4 | Divorced | 10793 | 8386 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 13 | 5 | 3 | 13 | 7 | 9 | 9 |
41.0 | No | Travel_Rarely | 642.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1999 | 4 | Male | 76 | 3 | 1 | Research Scientist | 4 | Married | 2782 | 21412 | 3 | Y | No | 22 | 4 | 1 | 80 | 1 | 12 | 3 | 3 | 5 | 3 | 1 | 0 |
31.0 | No | Travel_Frequently | 1125.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1956 | 4 | Male | 48 | 1 | 2 | Research Scientist | 1 | Married | 5003 | 5771 | 1 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 6 | 3 | 10 | 8 | 8 | 7 |
45.0 | No | Travel_Frequently | 1297.0 | Research & Development | 1.0 | 4 | Medical | 1 | 1922 | 2 | Male | 44 | 3 | 2 | Healthcare Representative | 3 | Single | 5399 | 14511 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 3 | 3 | 4 | 2 | 0 | 3 |
33.0 | No | Travel_Frequently | 508.0 | Sales | 10.0 | 3 | Marketing | 1 | 446 | 2 | Male | 46 | 2 | 2 | Sales Executive | 4 | Single | 4682 | 4317 | 3 | Y | No | 14 | 3 | 3 | 80 | 0 | 9 | 6 | 2 | 7 | 7 | 0 | 1 |
27.0 | No | Travel_Rarely | 1220.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 434 | 3 | Female | 85 | 3 | 1 | Research Scientist | 2 | Single | 2478 | 20938 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 3 | 1 | 2 |
36.0 | No | Travel_Frequently | 884.0 | Research & Development | 23.0 | 2 | Medical | 1 | 2061 | 3 | Male | 41 | 4 | 2 | Laboratory Technician | 4 | Married | 2571 | 12290 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 17 | 3 | 3 | 5 | 2 | 0 | 3 |
33.0 | No | Travel_Rarely | 267.0 | Research & Development | 21.0 | 3 | Medical | 1 | 1698 | 2 | Male | 79 | 4 | 1 | Laboratory Technician | 2 | Married | 2028 | 13637 | 1 | Y | No | 18 | 3 | 4 | 80 | 3 | 14 | 6 | 3 | 14 | 11 | 2 | 13 |
31.0 | No | Travel_Rarely | 670.0 | Research & Development | 26.0 | 1 | Life Sciences | 1 | 16 | 1 | Male | 31 | 3 | 1 | Research Scientist | 3 | Divorced | 2911 | 15170 | 1 | Y | No | 17 | 3 | 4 | 80 | 1 | 5 | 1 | 2 | 5 | 2 | 4 | 3 |
19.0 | Yes | Travel_Frequently | 602.0 | Sales | 1.0 | 1 | Technical Degree | 1 | 235 | 3 | Female | 100 | 1 | 1 | Sales Representative | 1 | Single | 2325 | 20989 | 0 | Y | No | 21 | 4 | 1 | 80 | 0 | 1 | 5 | 4 | 0 | 0 | 0 | 0 |
32.0 | No | Travel_Frequently | 1311.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 359 | 2 | Male | 100 | 4 | 1 | Laboratory Technician | 2 | Married | 2794 | 26062 | 1 | Y | No | 20 | 4 | 3 | 80 | 0 | 5 | 3 | 1 | 5 | 1 | 0 | 3 |
36.0 | No | Non-Travel | 217.0 | Research & Development | 18.0 | 4 | Life Sciences | 1 | 1133 | 1 | Male | 78 | 3 | 2 | Manufacturing Director | 4 | Single | 7779 | 23238 | 2 | Y | No | 20 | 4 | 1 | 80 | 0 | 18 | 0 | 3 | 11 | 9 | 0 | 9 |
37.0 | No | Travel_Rarely | NaN | Human Resources | 8.0 | 2 | Other | 1 | 1794 | 3 | Male | 89 | 3 | 2 | Human Resources | 2 | Divorced | 4071 | 12832 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 19 | 4 | 2 | 10 | 0 | 4 | 7 |
NaN | No | Travel_Rarely | 1144.0 | Sales | 10.0 | 1 | Medical | 1 | 1056 | 4 | Male | 74 | 3 | 1 | Sales Representative | 2 | Married | 1052 | 23384 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 959.0 | Sales | 28.0 | 3 | Life Sciences | 1 | 183 | 1 | Male | 41 | 2 | 2 | Sales Executive | 3 | Married | 8639 | 24835 | 2 | Y | No | 18 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
29.0 | Yes | Travel_Rarely | 805.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 816 | 2 | Female | 36 | 2 | 1 | Laboratory Technician | 1 | NaN | 2319 | 6689 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 1 | 1 | 3 | 1 | 0 | 0 | 0 |
29.0 | No | Travel_Rarely | 1107.0 | Research & Development | 28.0 | 4 | Life Sciences | 1 | 1120 | 3 | Female | 93 | 3 | 1 | Research Scientist | 4 | Divorced | 2514 | 26968 | 4 | Y | No | 22 | 4 | 1 | 80 | 1 | 11 | 1 | 3 | 7 | 5 | 1 | 7 |
41.0 | No | Non-Travel | 247.0 | Research & Development | 7.0 | 1 | Life Sciences | 1 | 1035 | 2 | Female | 55 | 1 | 5 | Research Director | 3 | NaN | 19973 | 20284 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 21 | 3 | 3 | 21 | 16 | 5 | 10 |
30.0 | No | Travel_Rarely | 1240.0 | Human Resources | 9.0 | 3 | Human Resources | 1 | 184 | 3 | Male | 48 | 3 | 2 | Human Resources | 4 | Married | 6347 | 13982 | 0 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 12 | 2 | 1 | 11 | 9 | 4 | 7 |
39.0 | No | Travel_Rarely | 1253.0 | Research & Development | 10.0 | 1 | Medical | 1 | 1800 | 3 | Male | 65 | 3 | 3 | Research Director | 3 | Single | 13464 | 7914 | 7 | Y | No | 21 | 4 | 3 | 80 | 0 | 9 | 3 | 3 | 4 | 3 | 2 | 2 |
22.0 | Yes | Travel_Rarely | 1294.0 | Research & Development | 8.0 | 1 | Medical | 1 | 1783 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 1 | Married | 2398 | 15999 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
31.0 | No | Non-Travel | 979.0 | Research & Development | 1.0 | 4 | Medical | 1 | 308 | 3 | Male | 90 | 1 | 2 | Manufacturing Director | 3 | Married | 4345 | 4381 | 0 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 3 | 5 | 4 | 1 | 4 |
45.0 | No | Travel_Rarely | 1234.0 | Sales | 11.0 | 2 | Life Sciences | 1 | 1045 | 4 | Female | 90 | 3 | 4 | Manager | 4 | Married | 17650 | 5404 | 3 | Y | No | 13 | 3 | 2 | 80 | 1 | 26 | 4 | 4 | 9 | 3 | 1 | 1 |
42.0 | No | Travel_Frequently | 532.0 | Research & Development | 29.0 | 2 | Life Sciences | 1 | 547 | 1 | Female | 92 | 3 | 2 | Research Scientist | 3 | Divorced | 4556 | 12932 | 2 | Y | No | 11 | 3 | 2 | 80 | 1 | 19 | 3 | 3 | 5 | 4 | 0 | 2 |
31.0 | No | Travel_Frequently | 798.0 | Research & Development | 7.0 | 2 | Life Sciences | 1 | 442 | 3 | Female | 48 | 2 | 3 | Manufacturing Director | 3 | Married | 8943 | 14034 | 1 | Y | No | 24 | 4 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 9 | 8 | 9 |
51.0 | No | Travel_Rarely | NaN | Research & Development | 2.0 | 3 | Medical | 1 | 408 | 4 | Male | 84 | 1 | 2 | Manufacturing Director | 2 | Divorced | 5482 | 16321 | 5 | Y | No | 18 | 3 | 4 | 80 | 1 | 13 | 3 | 3 | 4 | 1 | 1 | 2 |
34.0 | No | Travel_Frequently | 669.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1184 | 4 | Male | 97 | 2 | 2 | Healthcare Representative | 1 | Single | 5343 | 25755 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 14 | 3 | 3 | 13 | 9 | 4 | 9 |
33.0 | No | Non-Travel | 722.0 | Sales | 17.0 | 3 | Life Sciences | 1 | 992 | 4 | Male | 38 | 3 | 4 | Manager | 3 | Single | 17444 | 20489 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 6 | 0 |
NaN | No | Travel_Rarely | 1224.0 | Sales | 7.0 | 4 | Life Sciences | 1 | 1962 | 3 | Female | 55 | 3 | 2 | Sales Executive | 4 | Married | 5204 | 13586 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 8 | 0 | 9 |
40.0 | No | Travel_Rarely | 444.0 | Sales | 2.0 | 2 | Marketing | 1 | 1986 | 2 | Female | 92 | 3 | 2 | Sales Executive | 2 | Married | 5677 | 4258 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 4 | 3 | 11 | 8 | 5 | 10 |
33.0 | No | Travel_Rarely | 536.0 | Sales | 10.0 | 5 | Marketing | 1 | 1268 | 4 | Male | 82 | 4 | 3 | Sales Executive | 3 | Divorced | 8380 | 21708 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 10 | 3 | 3 | 9 | 8 | 0 | 8 |
34.0 | No | Travel_Rarely | 1400.0 | Sales | 9.0 | 1 | Life Sciences | 1 | 1163 | 2 | Female | 70 | 3 | 2 | Sales Executive | 3 | Married | 5714 | 5829 | 1 | Y | No | 20 | 4 | 1 | 80 | 0 | 6 | 3 | 2 | 6 | 5 | 1 | 3 |
34.0 | No | Travel_Rarely | 1397.0 | Research & Development | 1.0 | 5 | Life Sciences | 1 | 683 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2691 | 7660 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 4 | 2 | 10 | 9 | 8 | 8 |
30.0 | No | Travel_Rarely | 153.0 | Research & Development | 8.0 | 2 | Life Sciences | 1 | 1015 | 2 | Female | 73 | 4 | 3 | Research Director | 1 | Married | 11416 | 17802 | 0 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 9 | 4 | 2 | 8 | 7 | 1 | 7 |
33.0 | No | Travel_Frequently | 1392.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 5 | 4 | Female | 56 | 3 | 1 | Research Scientist | 3 | Married | 2909 | 23159 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 3 | 3 | 8 | 7 | 3 | 0 |
45.0 | No | Non-Travel | 248.0 | Research & Development | 23.0 | 2 | Life Sciences | 1 | 1002 | 4 | Male | 42 | 3 | 2 | Laboratory Technician | 1 | Married | 3633 | 14039 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 9 | 8 | 0 | 8 |
37.0 | No | Non-Travel | 142.0 | Sales | 9.0 | 4 | Medical | 1 | 626 | 1 | Male | 69 | 3 | 3 | Sales Executive | 2 | Divorced | 8834 | 24666 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 9 | 6 | 3 | 9 | 5 | 7 | 7 |
31.0 | No | Travel_Rarely | 691.0 | Sales | 7.0 | 3 | Marketing | 1 | 438 | 4 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 7547 | 7143 | 4 | Y | No | 12 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 7 | 7 | 1 | 7 |
32.0 | No | Travel_Frequently | 1005.0 | Research & Development | 2.0 | 2 | Life Sciences | 1 | 8 | 4 | Male | 79 | 3 | 1 | Laboratory Technician | 4 | Single | 3068 | 11864 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 8 | 2 | 2 | 7 | 7 | 3 | 6 |
NaN | No | Travel_Rarely | 640.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 1301 | 4 | Male | 84 | 3 | 1 | Research Scientist | 1 | Single | 2080 | 4732 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 683.0 | Research & Development | 2.0 | 1 | Medical | 1 | 1407 | 1 | Male | 36 | 2 | 1 | Research Scientist | 4 | Single | 3904 | 4050 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 1 |
30.0 | Yes | Travel_Rarely | 138.0 | Research & Development | 22.0 | 3 | Life Sciences | 1 | 1004 | 1 | Female | 48 | 3 | 1 | Research Scientist | 3 | Married | 2132 | 11539 | 4 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 5 | 2 | 0 | 1 |
33.0 | No | Travel_Frequently | 1141.0 | Sales | 1.0 | 3 | Life Sciences | 1 | 52 | 3 | Female | 42 | 4 | 2 | Sales Executive | 1 | Married | 5376 | 3193 | 2 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 5 | 3 | 1 | 3 |
38.0 | No | Travel_Rarely | 168.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 743 | 3 | Female | 81 | 3 | 3 | Manufacturing Director | 3 | Single | 7861 | 15397 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 10 | 4 | 4 | 1 | 0 | 0 | 0 |
41.0 | No | Travel_Rarely | 1411.0 | Research & Development | 19.0 | 2 | Life Sciences | 1 | 334 | 3 | Male | 36 | 3 | 2 | Research Scientist | 1 | Divorced | 3072 | 19877 | 2 | Y | No | 16 | 3 | 1 | 80 | 2 | 17 | 2 | 2 | 1 | 0 | 0 | 0 |
51.0 | Yes | Travel_Frequently | 1150.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 179 | 1 | Male | 53 | 1 | 3 | Manufacturing Director | 4 | Single | 10650 | 25150 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 4 | 2 | 0 | 3 |
38.0 | No | Travel_Frequently | 471.0 | Research & Development | 12.0 | 3 | Life Sciences | 1 | 837 | 1 | Male | 45 | 2 | 2 | Healthcare Representative | 1 | Divorced | 6288 | 4284 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 13 | 3 | 2 | 4 | 3 | 1 | 2 |
27.0 | No | Travel_Rarely | 728.0 | Sales | 23.0 | 1 | Medical | 1 | 1864 | 2 | Female | 36 | 2 | 2 | Sales Representative | 3 | Married | 3540 | 7018 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 9 | 5 | 3 | 9 | 8 | 5 | 8 |
53.0 | No | Travel_Rarely | 102.0 | Research & Development | 23.0 | 4 | Life Sciences | 1 | 901 | 4 | Female | 72 | 3 | 4 | Research Director | 4 | Single | 14275 | 20206 | 6 | Y | No | 18 | 3 | 3 | 80 | 0 | 33 | 0 | 3 | 12 | 9 | 3 | 8 |
30.0 | No | Travel_Rarely | 1358.0 | Sales | 16.0 | 1 | Life Sciences | 1 | 1479 | 4 | Male | 96 | 3 | 2 | Sales Executive | 3 | Married | 5301 | 2939 | 8 | Y | No | 15 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 2 | 1 | 2 | 2 |
30.0 | Yes | Travel_Rarely | 945.0 | Sales | 9.0 | 3 | Medical | 1 | 1876 | 2 | Male | 89 | 3 | 1 | Sales Representative | 4 | Single | 1081 | 16019 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
30.0 | No | Travel_Rarely | 921.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 806 | 4 | Male | 38 | 1 | 1 | Laboratory Technician | 3 | Married | 3833 | 24375 | 3 | Y | No | 21 | 4 | 3 | 80 | 2 | 7 | 2 | 3 | 2 | 2 | 0 | 2 |
58.0 | No | Travel_Rarely | 1055.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1423 | 4 | Female | 76 | 3 | 5 | Research Director | 1 | Married | 19701 | 22456 | 3 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 9 | 8 | 1 | 5 |
34.0 | No | Travel_Rarely | 216.0 | Sales | 1.0 | 4 | Marketing | 1 | 1047 | 2 | Male | 75 | 4 | 2 | Sales Executive | 4 | Divorced | 9725 | 12278 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 16 | 2 | 2 | 15 | 1 | 0 | 9 |
NaN | No | Travel_Frequently | 1096.0 | Research & Development | 6.0 | 3 | Other | 1 | 1918 | 3 | Male | 61 | 4 | 1 | Laboratory Technician | 4 | Married | 2544 | 7102 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 7 | 7 | 7 | 7 |
51.0 | No | Travel_Rarely | 1178.0 | Sales | 14.0 | 2 | Life Sciences | 1 | 500 | 3 | Female | 87 | 3 | 2 | Sales Executive | 4 | Married | 4936 | 14862 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 7 | 7 | 0 | 7 |
39.0 | No | Travel_Rarely | 117.0 | Research & Development | 10.0 | 1 | Medical | 1 | 429 | 3 | Male | 99 | 3 | 4 | Manager | 1 | Married | 17068 | 5355 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 21 | 3 | 3 | 21 | 9 | 11 | 10 |
36.0 | No | Non-Travel | 635.0 | Sales | 10.0 | 4 | Medical | 1 | 592 | 2 | Male | 32 | 3 | 3 | Sales Executive | 4 | Single | 9980 | 15318 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 3 | 2 | 10 | 3 | 9 | 7 |
32.0 | No | Travel_Rarely | 588.0 | Sales | 8.0 | 2 | Technical Degree | 1 | 436 | 3 | Female | 65 | 2 | 2 | Sales Executive | 2 | Married | 5228 | 24624 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 13 | 12 | 11 | 9 |
56.0 | No | Travel_Frequently | 1240.0 | Research & Development | 9.0 | 3 | Medical | 1 | 1071 | 1 | Female | 63 | 3 | 1 | Research Scientist | 3 | Married | 2942 | 12154 | 2 | Y | No | 19 | 3 | 2 | 80 | 1 | 18 | 4 | 3 | 5 | 4 | 0 | 3 |
57.0 | No | Travel_Rarely | 405.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 1483 | 2 | Male | 93 | 4 | 2 | Research Scientist | 3 | NaN | 4900 | 2721 | 0 | Y | No | 24 | 4 | 1 | 80 | 1 | 13 | 2 | 2 | 12 | 9 | 2 | 8 |
57.0 | No | Travel_Rarely | 210.0 | Sales | 29.0 | 3 | Marketing | 1 | 568 | 1 | Male | 56 | 2 | 4 | Manager | 4 | Divorced | 14118 | 22102 | 3 | Y | No | 12 | 3 | 3 | 80 | 1 | 32 | 3 | 2 | 1 | 0 | 0 | 0 |
40.0 | No | Travel_Rarely | 804.0 | Research & Development | 2.0 | 1 | Medical | 1 | 763 | 4 | Female | 86 | 2 | 1 | Research Scientist | 4 | Single | 2342 | 22929 | 0 | Y | Yes | 20 | 4 | 4 | 80 | 0 | 5 | 2 | 2 | 4 | 2 | 2 | 3 |
23.0 | Yes | Travel_Frequently | 638.0 | Sales | 9.0 | 3 | Marketing | 1 | 2023 | 4 | Male | 33 | 3 | 1 | Sales Representative | 1 | Married | 1790 | 26956 | 1 | Y | No | 19 | 3 | 1 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
53.0 | No | Travel_Rarely | 1395.0 | Research & Development | 24.0 | 4 | Medical | 1 | 1689 | 2 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Married | 7005 | 3458 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 4 | 3 | 1 | 2 |
38.0 | No | Travel_Frequently | 148.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1675 | 4 | Female | 42 | 2 | 1 | Laboratory Technician | 2 | Single | 2440 | 23826 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 3 | 3 | 3 |
36.0 | No | Travel_Rarely | 1041.0 | Human Resources | 13.0 | 3 | Human Resources | 1 | 829 | 3 | Male | 36 | 3 | 1 | Human Resources | 2 | Married | 2143 | 25527 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 5 | 2 | 0 | 4 |
29.0 | No | Travel_Frequently | 1413.0 | Sales | 1.0 | 1 | Medical | 1 | 312 | 2 | Female | 42 | 3 | 3 | Sales Executive | 4 | Married | 7918 | 6599 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 11 | 5 | 3 | 11 | 10 | 4 | 1 |
38.0 | No | Travel_Rarely | 201.0 | Research & Development | 10.0 | 3 | Medical | 1 | 2015 | 2 | Female | 99 | 1 | 3 | Research Director | 3 | Married | 13206 | 3376 | 3 | Y | No | 12 | 3 | 1 | 80 | 1 | 20 | 3 | 3 | 18 | 16 | 1 | 11 |
47.0 | No | Travel_Rarely | 1180.0 | Research & Development | 25.0 | 3 | Medical | 1 | 1993 | 1 | Male | 84 | 3 | 3 | Healthcare Representative | 3 | Single | 8633 | 13084 | 2 | Y | No | 23 | 4 | 2 | 80 | 0 | 25 | 3 | 3 | 17 | 14 | 12 | 11 |
32.0 | Yes | Travel_Rarely | 1089.0 | Research & Development | 7.0 | 2 | Life Sciences | 1 | 1309 | 4 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 4883 | 22845 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 10 | 3 | 3 | 10 | 4 | 1 | 1 |
NaN | No | Travel_Rarely | 819.0 | Research & Development | 18.0 | 5 | Life Sciences | 1 | 1621 | 2 | Male | 48 | 4 | 2 | Research Scientist | 1 | Married | 5208 | 26312 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 2 | 3 | 16 | 15 | 1 | 10 |
36.0 | No | Travel_Frequently | 1195.0 | Research & Development | 11.0 | 3 | Life Sciences | 1 | 85 | 2 | Male | 95 | 2 | 2 | Manufacturing Director | 2 | Single | 6499 | 22656 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 0 | 3 |
49.0 | Yes | Travel_Frequently | 1475.0 | Research & Development | 28.0 | 2 | Life Sciences | 1 | 1420 | 1 | Male | 97 | 2 | 2 | Laboratory Technician | 1 | Single | 4284 | 22710 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 20 | 2 | 3 | 4 | 3 | 1 | 3 |
34.0 | No | Travel_Rarely | 121.0 | Research & Development | 2.0 | 4 | Medical | 1 | 804 | 3 | Female | 86 | 2 | 1 | Research Scientist | 1 | Single | 4381 | 7530 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 5 | 1 | 3 |
39.0 | No | Travel_Rarely | 524.0 | Research & Development | 18.0 | 2 | Life Sciences | 1 | 1322 | 1 | Male | 32 | 3 | 2 | Manufacturing Director | 3 | Single | 4534 | 13352 | 0 | Y | No | 11 | 3 | 1 | 80 | 0 | 9 | 6 | 3 | 8 | 7 | 1 | 7 |
30.0 | No | Non-Travel | 829.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 292 | 3 | Male | 88 | 2 | 3 | Manufacturing Director | 3 | Single | 8474 | 20925 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 12 | 2 | 3 | 11 | 8 | 5 | 8 |
51.0 | No | Travel_Frequently | 541.0 | Sales | 2.0 | 3 | Marketing | 1 | 1391 | 2 | Male | 52 | 3 | 3 | Sales Executive | 2 | Married | 10596 | 15395 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 14 | 5 | 3 | 4 | 2 | 3 | 2 |
NaN | No | Travel_Rarely | 735.0 | Research & Development | 6.0 | 1 | Life Sciences | 1 | 1291 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 3506 | 6020 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 2 | 2 |
60.0 | No | Travel_Rarely | 1179.0 | Sales | 16.0 | 4 | Marketing | 1 | 732 | 1 | Male | 84 | 3 | 2 | Sales Executive | 1 | Single | 5405 | 11924 | 8 | Y | No | 14 | 3 | 4 | 80 | 0 | 10 | 1 | 3 | 2 | 2 | 2 | 2 |
50.0 | Yes | Travel_Frequently | 878.0 | Sales | 1.0 | 4 | Life Sciences | 1 | 2044 | 2 | Male | 94 | 3 | 2 | Sales Executive | 3 | Divorced | 6728 | 14255 | 7 | Y | No | 12 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 6 | 3 | 0 | 1 |
45.0 | No | NaN | 950.0 | Research & Development | 28.0 | 3 | Technical Degree | 1 | 1546 | 4 | Male | 97 | 3 | 1 | Research Scientist | 4 | Married | 2132 | 4585 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 5 | 4 | 0 | 3 |
56.0 | No | Travel_Rarely | 1400.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 112 | 4 | Male | 49 | 1 | 3 | Manufacturing Director | 4 | Single | 7260 | 21698 | 4 | Y | No | 11 | 3 | 1 | 80 | 0 | 37 | 3 | 2 | 6 | 4 | 0 | 2 |
46.0 | No | Travel_Rarely | 706.0 | Research & Development | 2.0 | 2 | Life Sciences | 1 | 1857 | 4 | Male | 82 | 3 | 3 | Manufacturing Director | 4 | Divorced | 8578 | 19989 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 12 | 4 | 2 | 9 | 8 | 4 | 7 |
42.0 | No | Travel_Rarely | 855.0 | Research & Development | 12.0 | 3 | Medical | 1 | 1768 | 2 | Male | 57 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2766 | 8952 | 8 | Y | No | 22 | 4 | 2 | 80 | 3 | 7 | 6 | 2 | 5 | 3 | 0 | 4 |
60.0 | No | Travel_Rarely | NaN | Research & Development | 1.0 | 4 | Medical | 1 | 1697 | 3 | Male | 92 | 1 | 3 | Healthcare Representative | 4 | Divorced | 10883 | 20467 | 3 | Y | No | 20 | 4 | 3 | 80 | 1 | 19 | 2 | 4 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 141.0 | Sales | NaN | 1 | Other | 1 | 879 | 3 | Male | 98 | 3 | 2 | Sales Executive | 1 | Married | 4194 | 14363 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 5 | 3 | 0 | 3 |
NaN | No | Non-Travel | 280.0 | Human Resources | 1.0 | 2 | Life Sciences | 1 | 1858 | 3 | Male | 43 | 3 | 1 | Human Resources | 4 | Divorced | 2706 | 10494 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 2 | 2 |
53.0 | Yes | Travel_Rarely | 607.0 | Research & Development | 2.0 | 5 | Technical Degree | 1 | 1572 | 3 | Female | 78 | 2 | 3 | Manufacturing Director | 4 | Married | 10169 | 14618 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 34 | 4 | 3 | 33 | 7 | 1 | 9 |
39.0 | No | Travel_Rarely | 867.0 | Research & Development | 9.0 | 2 | Medical | 1 | 1936 | 1 | Male | 87 | 3 | 2 | Manufacturing Director | 1 | Married | 5151 | 12315 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 0 | 7 | 9 |
48.0 | No | Travel_Rarely | 1224.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 1867 | 4 | Male | 91 | 2 | 5 | Research Director | 2 | Married | 19665 | 13583 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 29 | 3 | 3 | 22 | 10 | 12 | 9 |
37.0 | No | Travel_Rarely | 228.0 | Sales | 6.0 | 4 | Medical | 1 | 378 | 3 | Male | 98 | 3 | 2 | Sales Executive | 4 | Married | 6502 | 22825 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 7 | 5 | 4 | 5 | 4 | 0 | 1 |
41.0 | No | Travel_Frequently | 1200.0 | Research & Development | 22.0 | 3 | Life Sciences | 1 | 1392 | 4 | Female | 75 | 3 | 2 | Research Scientist | 4 | Divorced | 5467 | 13953 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 12 | 4 | 2 | 6 | 2 | 3 | 3 |
21.0 | No | Non-Travel | 895.0 | Sales | 9.0 | 2 | Medical | 1 | 484 | 1 | Male | 39 | 3 | 1 | Sales Representative | 4 | Single | 2610 | 2851 | 1 | Y | No | 24 | 4 | 3 | 80 | 0 | 3 | 3 | 2 | 3 | 2 | 2 | 2 |
32.0 | No | Travel_Rarely | 117.0 | Sales | 13.0 | 4 | Life Sciences | 1 | 859 | 2 | Male | 73 | 3 | 2 | Sales Executive | 4 | Divorced | 4403 | 9250 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 8 | 3 | 2 | 5 | 2 | 0 | 3 |
37.0 | Yes | Travel_Rarely | 1373.0 | Research & Development | 2.0 | 2 | Other | 1 | 4 | 4 | Male | 92 | 2 | 1 | Laboratory Technician | 3 | Single | 2090 | 2396 | 6 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 7 | 3 | 3 | 0 | 0 | 0 | 0 |
59.0 | No | Travel_Rarely | 1324.0 | Research & Development | NaN | 3 | Medical | 1 | 10 | 3 | Female | 81 | 4 | 1 | Laboratory Technician | 1 | Married | 2670 | 9964 | 4 | Y | Yes | 20 | 4 | 1 | 80 | 3 | 12 | 3 | 2 | 1 | 0 | 0 | 0 |
45.0 | No | Travel_Frequently | 1249.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 425 | 1 | Male | 97 | 3 | 3 | Laboratory Technician | 1 | Divorced | 5210 | 20308 | 1 | Y | No | 18 | 3 | 1 | 80 | 1 | 24 | 2 | 3 | 24 | 9 | 9 | 11 |
NaN | Yes | Travel_Frequently | 130.0 | Research & Development | 25.0 | 4 | Life Sciences | 1 | 881 | 4 | Female | 96 | 3 | 1 | Research Scientist | 2 | Divorced | 2022 | 16612 | 1 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 2 | 7 | 8 |
36.0 | No | Travel_Frequently | 469.0 | Research & Development | NaN | 3 | Technical Degree | 1 | 1257 | 3 | Male | 46 | 3 | 1 | Research Scientist | 2 | Married | 3692 | 9256 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 12 | 2 | 2 | 11 | 10 | 0 | 7 |
41.0 | No | Travel_Rarely | 930.0 | Sales | NaN | 3 | Life Sciences | 1 | 2037 | 3 | Male | 57 | 2 | 2 | Sales Executive | 2 | Divorced | 8938 | 12227 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 14 | 5 | 3 | 5 | 4 | 0 | 4 |
41.0 | No | Travel_Rarely | 896.0 | Sales | 6.0 | 3 | Life Sciences | 1 | 298 | 4 | Female | 75 | 3 | 3 | Manager | 4 | Single | 13591 | 14674 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 1 | 0 | 0 | 0 |
42.0 | No | Travel_Rarely | 603.0 | Research & Development | 7.0 | 4 | Medical | 1 | 1292 | 2 | Female | 78 | 4 | 2 | Research Scientist | 2 | Married | 2372 | 5628 | 6 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 1 | 0 | 0 | 0 |
42.0 | No | Travel_Rarely | 691.0 | Sales | 8.0 | 4 | Marketing | 1 | 35 | 3 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6825 | 21173 | 0 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 4 | 2 |
24.0 | No | Non-Travel | 830.0 | Sales | 13.0 | 2 | Life Sciences | 1 | 1495 | 4 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2033 | 7103 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
33.0 | Yes | Travel_Rarely | 603.0 | Sales | 9.0 | 4 | Marketing | 1 | 1157 | 1 | Female | 77 | 3 | 2 | Sales Executive | 1 | Single | 8224 | 18385 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 0 | 3 |
43.0 | No | Travel_Frequently | 422.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 902 | 4 | Female | 33 | 3 | 2 | Healthcare Representative | 4 | Married | 5562 | 21782 | 4 | Y | No | 13 | 3 | 2 | 80 | 1 | 12 | 2 | 2 | 5 | 2 | 2 | 2 |
NaN | No | Travel_Rarely | 583.0 | Sales | 4.0 | 1 | Marketing | 1 | 885 | 3 | Male | 87 | 2 | 2 | Sales Executive | 1 | Married | 4256 | 18154 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 5 | 1 | 4 | 5 | 2 | 0 | 3 |
38.0 | No | Travel_Frequently | 1391.0 | Research & Development | 10.0 | 1 | Medical | 1 | 1006 | 3 | Male | 66 | 3 | 1 | Research Scientist | 3 | Married | 2684 | 12127 | 0 | Y | No | 17 | 3 | 2 | 80 | 1 | 3 | 0 | 2 | 2 | 1 | 0 | 2 |
33.0 | No | Travel_Rarely | 516.0 | Research & Development | 8.0 | 5 | Life Sciences | 1 | 1515 | 4 | Male | 69 | 3 | 2 | Healthcare Representative | 3 | Single | 6388 | 22049 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 14 | 6 | 3 | 0 | 0 | 0 | 0 |
53.0 | No | Travel_Rarely | 661.0 | Sales | 7.0 | 2 | Marketing | 1 | 862 | 1 | Female | 78 | 2 | 3 | Sales Executive | 4 | Married | 10934 | 20715 | 7 | Y | Yes | 18 | 3 | 4 | 80 | 1 | 35 | 3 | 3 | 5 | 2 | 0 | 4 |
43.0 | No | Travel_Frequently | 1082.0 | Research & Development | 27.0 | 3 | Life Sciences | 1 | 1126 | 3 | Female | 83 | 3 | 3 | Manufacturing Director | 1 | Married | 10820 | 11535 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 18 | 1 | 3 | 8 | 7 | 0 | 1 |
42.0 | No | Travel_Rarely | 269.0 | Research & Development | 2.0 | 3 | Medical | 1 | 351 | 4 | Female | 56 | 2 | 1 | Laboratory Technician | 1 | Divorced | 2593 | 8007 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 10 | 4 | 3 | 9 | 6 | 7 | 8 |
53.0 | No | Travel_Rarely | 1282.0 | Research & Development | NaN | 3 | Other | 1 | 32 | 3 | Female | 58 | 3 | 5 | Manager | 3 | Divorced | 19094 | 10735 | 4 | Y | No | 11 | 3 | 4 | 80 | 1 | 26 | 3 | 2 | 14 | 13 | 4 | 8 |
29.0 | Yes | Travel_Rarely | 318.0 | Research & Development | 8.0 | 4 | Other | 1 | 454 | 2 | Male | 77 | 1 | 1 | Laboratory Technician | 1 | Married | 2119 | 4759 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 7 | 4 | 2 | 7 | 7 | 0 | 7 |
29.0 | No | Travel_Rarely | 657.0 | Research & Development | 27.0 | 3 | Medical | 1 | 793 | 2 | Female | 66 | 3 | 2 | Healthcare Representative | 3 | Married | 4335 | 25549 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 11 | 3 | 2 | 8 | 7 | 1 | 1 |
37.0 | No | Travel_Rarely | 408.0 | Research & Development | 19.0 | 2 | Life Sciences | 1 | 61 | 2 | Male | 73 | 3 | 1 | Research Scientist | 2 | Married | 3022 | 10227 | 4 | Y | No | 21 | 4 | 1 | 80 | 0 | 8 | 1 | 3 | 1 | 0 | 0 | 0 |
50.0 | No | Travel_Frequently | 1115.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 141 | 1 | Female | 73 | 3 | 5 | Research Director | 2 | Married | 18172 | 9755 | 3 | Y | Yes | 19 | 3 | 1 | 80 | 0 | 28 | 1 | 2 | 8 | 3 | 0 | 7 |
29.0 | No | Non-Travel | 746.0 | Sales | 2.0 | 3 | Life Sciences | 1 | 469 | 4 | Male | 61 | 3 | 2 | Sales Executive | 3 | Married | 4649 | 16928 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 0 | 2 |
33.0 | No | Travel_Frequently | 515.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 73 | 1 | Female | 98 | 3 | 3 | Research Director | 4 | Single | 13458 | 15146 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 15 | 1 | 3 | 15 | 14 | 8 | 12 |
55.0 | No | Non-Travel | 444.0 | Research & Development | 2.0 | 1 | Medical | 1 | 1074 | 3 | Male | 40 | 2 | 4 | Manager | 1 | Single | 16756 | 17323 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 31 | 3 | 4 | 9 | 7 | 6 | 2 |
51.0 | No | Travel_Rarely | 1469.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 296 | 2 | Male | 81 | 2 | 3 | Research Director | 2 | Married | 12490 | 15736 | 5 | Y | No | 16 | 3 | 4 | 80 | 2 | 16 | 5 | 1 | 10 | 9 | 4 | 7 |
30.0 | No | Travel_Frequently | 1312.0 | Research & Development | 23.0 | 3 | Life Sciences | 1 | 159 | 1 | Male | 96 | 1 | 1 | Research Scientist | 3 | Divorced | 2613 | 22310 | 1 | Y | No | 25 | 4 | 3 | 80 | 3 | 10 | 2 | 2 | 10 | 7 | 0 | 9 |
49.0 | No | Travel_Rarely | 1098.0 | Research & Development | 4.0 | 2 | Medical | 1 | 1256 | 1 | Male | 85 | 2 | 5 | Manager | 3 | Married | 18711 | 12124 | 2 | Y | No | 13 | 3 | 3 | 80 | 1 | 23 | 2 | 4 | 1 | 0 | 0 | 0 |
47.0 | No | Travel_Frequently | 1379.0 | Research & Development | 16.0 | 4 | Medical | 1 | 987 | 3 | Male | 64 | 4 | 2 | Manufacturing Director | 3 | Divorced | 5067 | 6759 | 1 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 20 | 3 | 4 | 19 | 10 | 2 | 7 |
31.0 | No | Travel_Rarely | 1082.0 | Research & Development | 1.0 | 4 | Medical | 1 | 95 | 3 | Male | 87 | 3 | 1 | Research Scientist | 2 | Single | 2501 | 18775 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 1 | 0 |
47.0 | No | Travel_Rarely | 207.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 1856 | 2 | Female | 64 | 3 | 1 | Laboratory Technician | 3 | Single | 2105 | 5411 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 0 |
58.0 | No | Travel_Rarely | 848.0 | Research & Development | 23.0 | 4 | Life Sciences | 1 | 1308 | 1 | Male | 88 | 3 | 1 | Research Scientist | 3 | Divorced | 2372 | 26076 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
41.0 | Yes | Travel_Rarely | 1360.0 | Research & Development | 12.0 | 3 | Technical Degree | 1 | 58 | 2 | Female | 49 | 3 | 5 | Research Director | 3 | Married | 19545 | 16280 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 23 | 0 | 3 | 22 | 15 | 15 | 8 |
29.0 | No | Travel_Rarely | 468.0 | Research & Development | 28.0 | 4 | Medical | 1 | 2054 | 4 | Female | 73 | 2 | 1 | Research Scientist | 1 | Single | 3785 | 8489 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 3 | 1 | 5 | 4 | 0 | 4 |
50.0 | No | Travel_Rarely | 1207.0 | Research & Development | 28.0 | 1 | Medical | 1 | 716 | 4 | Male | 74 | 4 | 1 | Laboratory Technician | 3 | Married | 3221 | 3297 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 20 | 3 | 3 | 20 | 8 | 3 | 8 |
32.0 | No | Travel_Rarely | 267.0 | Research & Development | 29.0 | 4 | Life Sciences | 1 | 2010 | 3 | Female | 49 | 2 | 1 | Laboratory Technician | 2 | Single | 2837 | 15919 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 1 |
44.0 | No | Travel_Rarely | 1313.0 | Research & Development | 7.0 | 3 | Medical | 1 | 1608 | 2 | Female | 31 | 3 | 5 | Research Director | 4 | Divorced | 19049 | 3549 | 0 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 23 | 4 | 2 | 22 | 7 | 1 | 10 |
38.0 | No | Travel_Rarely | 433.0 | Human Resources | 1.0 | 3 | Human Resources | 1 | 1152 | 3 | Male | 37 | 4 | 1 | Human Resources | 3 | Married | 2844 | 6004 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 7 | 2 | 4 | 7 | 6 | 5 | 0 |
NaN | Yes | Travel_Frequently | 342.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 1053 | 1 | Male | 57 | 3 | 1 | Research Scientist | 1 | Married | 2042 | 15346 | 6 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 6 | 2 | 3 | 3 | 2 | 1 | 2 |
40.0 | No | Travel_Frequently | 580.0 | Sales | NaN | 4 | Life Sciences | 1 | 729 | 4 | Male | 48 | 2 | 3 | Sales Executive | 1 | Married | 10475 | 23772 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 20 | 2 | 3 | 18 | 13 | 1 | 12 |
45.0 | No | Travel_Rarely | 252.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 834 | 2 | Female | 95 | 2 | 1 | Research Scientist | 3 | Single | 2274 | 6153 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
46.0 | No | Travel_Frequently | 1034.0 | Research & Development | 18.0 | 1 | Medical | 1 | 624 | 1 | Female | 86 | 3 | 3 | Healthcare Representative | 3 | Married | 10527 | 8984 | 5 | Y | No | 11 | 3 | 4 | 80 | 0 | 28 | 3 | 2 | 2 | 2 | 1 | 2 |
NaN | Yes | Non-Travel | 1366.0 | Research & Development | 24.0 | 2 | Technical Degree | 1 | 1082 | 2 | Male | 72 | 2 | 3 | Healthcare Representative | 1 | Single | 8722 | 12355 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 10 | 2 | 2 | 10 | 7 | 1 | 9 |
34.0 | No | Travel_Rarely | 181.0 | Research & Development | 2.0 | 4 | Medical | 1 | 1755 | 4 | Male | 97 | 4 | 1 | Research Scientist | 4 | Married | 2932 | 5586 | 0 | Y | Yes | 14 | 3 | 1 | 80 | 3 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
55.0 | No | Travel_Frequently | 135.0 | Research & Development | 18.0 | 4 | Medical | 1 | 1034 | 3 | Male | 62 | 3 | 2 | Healthcare Representative | 2 | Married | 6385 | 12992 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 2 | 17 | 3 | 3 | 8 | 7 | 6 | 7 |
19.0 | No | Travel_Rarely | 265.0 | Research & Development | 25.0 | 3 | Life Sciences | 1 | 1269 | 2 | Female | 57 | 4 | 1 | Research Scientist | 4 | Single | 2994 | 21221 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
32.0 | No | Travel_Rarely | 427.0 | Research & Development | 1.0 | 3 | Medical | 1 | 78 | 1 | Male | 33 | 3 | 2 | Manufacturing Director | 4 | Married | 6162 | 10877 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 9 | 8 | 7 | 8 |
40.0 | No | Non-Travel | 663.0 | Research & Development | 9.0 | 4 | Other | 1 | 1449 | 3 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3975 | 23099 | 3 | Y | No | 11 | 3 | 3 | 80 | 2 | 11 | 2 | 4 | 8 | 7 | 0 | 7 |
30.0 | No | Travel_Rarely | 1334.0 | Sales | 4.0 | 2 | Medical | 1 | 121 | 3 | Female | 63 | 2 | 2 | Sales Executive | 2 | Divorced | 5209 | 19760 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 3 | 11 | 4 | 2 | 11 | 8 | 2 | 7 |
22.0 | Yes | Travel_Rarely | 617.0 | Research & Development | NaN | 1 | Life Sciences | 1 | 926 | 2 | Female | 34 | 3 | 2 | Manufacturing Director | 3 | Married | 4171 | 10022 | 0 | Y | Yes | 19 | 3 | 1 | 80 | 1 | 4 | 3 | 4 | 3 | 2 | 0 | 2 |
48.0 | No | Travel_Rarely | 1469.0 | Research & Development | 20.0 | 4 | Medical | 1 | 945 | 4 | Male | 51 | 3 | 1 | Research Scientist | 3 | Married | 2259 | 5543 | 4 | Y | No | 17 | 3 | 1 | 80 | 2 | 13 | 2 | 2 | 0 | 0 | 0 | 0 |
45.0 | No | Non-Travel | 1195.0 | Research & Development | 2.0 | 2 | Medical | 1 | 264 | 1 | Male | 65 | 2 | 4 | Manager | 4 | Married | 16792 | 20462 | 9 | Y | No | 23 | 4 | 4 | 80 | 1 | 22 | 1 | 3 | 20 | 8 | 11 | 8 |
53.0 | No | Travel_Rarely | 1070.0 | Research & Development | NaN | 4 | Medical | 1 | 386 | 3 | Male | 45 | 3 | 4 | Research Director | 3 | Married | 17584 | 21016 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 3 | 21 | 5 | 2 | 5 | 3 | 1 | 3 |
36.0 | No | Travel_Frequently | 541.0 | Sales | NaN | 4 | Medical | 1 | 481 | 1 | Male | 48 | 2 | 3 | Sales Executive | 4 | Married | 9699 | 7246 | 4 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 3 | 13 | 9 | 1 | 12 |
29.0 | No | Travel_Frequently | 806.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 710 | 2 | Male | 76 | 1 | 1 | Research Scientist | 4 | Divorced | 2720 | 18959 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 7 | 2 | 8 |
46.0 | No | Travel_Rarely | 1003.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 1080 | 4 | Female | 74 | 2 | 2 | Research Scientist | 1 | Divorced | 4615 | 21029 | 8 | Y | Yes | 23 | 4 | 1 | 80 | 3 | 19 | 2 | 3 | 16 | 13 | 1 | 7 |
41.0 | No | Travel_Rarely | 549.0 | Research & Development | 7.0 | 2 | Medical | 1 | 1025 | 4 | Female | 42 | 3 | 2 | Manufacturing Director | 3 | Single | 5003 | 23371 | 6 | Y | No | 14 | 3 | 2 | 80 | 0 | 8 | 6 | 3 | 2 | 2 | 2 | 1 |
41.0 | Yes | Travel_Rarely | 1356.0 | Sales | 20.0 | 2 | Marketing | 1 | 248 | 2 | Female | 70 | 3 | 1 | Sales Representative | 2 | Single | 3140 | 21728 | 1 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 4 | 5 | 2 | 4 | 3 | 0 | 2 |
52.0 | No | Travel_Frequently | 322.0 | Research & Development | 28.0 | 2 | Medical | 1 | 1401 | 4 | Female | 59 | 4 | 4 | Manufacturing Director | 3 | Married | 13247 | 9731 | 2 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 2 | 5 | 3 | 0 | 2 |
51.0 | No | Travel_Frequently | 1456.0 | Research & Development | 1.0 | 4 | Medical | 1 | 145 | 1 | Female | 30 | 2 | 3 | Healthcare Representative | 1 | Single | 7484 | 25796 | 3 | Y | No | 20 | 4 | 3 | 80 | 0 | 23 | 1 | 2 | 13 | 12 | 12 | 8 |
NaN | Yes | Travel_Rarely | 1357.0 | Research & Development | 25.0 | 3 | Life Sciences | 1 | 55 | 1 | Male | 48 | 1 | 1 | Laboratory Technician | 3 | Single | 2293 | 10558 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 2 | 2 | 1 | 0 | 0 | 1 |
36.0 | No | Travel_Rarely | 1157.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 1556 | 3 | Male | 70 | 3 | 1 | Sales Representative | 4 | Single | 2644 | 17001 | 3 | Y | Yes | 21 | 4 | 4 | 80 | 0 | 7 | 3 | 2 | 3 | 2 | 1 | 2 |
38.0 | Yes | Travel_Rarely | 1180.0 | Research & Development | 29.0 | 1 | Medical | 1 | 282 | 2 | Male | 70 | 3 | 2 | Healthcare Representative | 1 | Married | 6673 | 11354 | 7 | Y | Yes | 19 | 3 | 2 | 80 | 0 | 17 | 2 | 3 | 1 | 0 | 0 | 0 |
31.0 | No | Travel_Frequently | 715.0 | Sales | 2.0 | 4 | Other | 1 | 1613 | 4 | Male | 54 | 3 | 2 | Sales Executive | 1 | Single | 5332 | 21602 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 5 | 2 | 0 | 3 |
44.0 | No | Travel_Rarely | 1488.0 | Sales | 1.0 | 5 | Marketing | 1 | 68 | 2 | Female | 75 | 3 | 2 | Sales Executive | 1 | Divorced | 5454 | 4009 | 5 | Y | Yes | 21 | 4 | 3 | 80 | 1 | 9 | 2 | 2 | 4 | 3 | 1 | 3 |
30.0 | No | Travel_Rarely | NaN | Sales | 27.0 | 5 | Marketing | 1 | 747 | 3 | Male | 99 | 3 | 2 | Sales Executive | 4 | Divorced | 5304 | 25275 | 7 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
31.0 | Yes | Travel_Frequently | 1060.0 | Sales | 1.0 | 3 | Life Sciences | 1 | 1331 | 4 | Female | 54 | 3 | 1 | Sales Representative | 2 | Single | 2302 | 8319 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 3 | 2 | 4 | 3 | 2 | 2 | 2 |
27.0 | Yes | Travel_Rarely | 135.0 | Research & Development | 17.0 | 4 | Life Sciences | 1 | 1405 | 4 | Female | 51 | 3 | 1 | Research Scientist | 3 | Single | 2394 | 25681 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 8 | 2 | 7 | 7 |
NaN | No | Travel_Rarely | 1451.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1136 | 1 | Male | 67 | 2 | 1 | Research Scientist | 2 | Married | 3201 | 19911 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
24.0 | No | NaN | 1206.0 | Research & Development | 17.0 | 1 | Medical | 1 | 1009 | 4 | Female | 41 | 2 | 2 | Manufacturing Director | 3 | Divorced | 4377 | 24117 | 1 | Y | No | 15 | 3 | 2 | 80 | 2 | 5 | 6 | 3 | 4 | 2 | 3 | 2 |
50.0 | No | Travel_Rarely | 328.0 | Research & Development | 1.0 | 3 | Medical | 1 | 249 | 3 | Male | 86 | 2 | 1 | Laboratory Technician | 3 | Married | 3690 | 3425 | 2 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 0 | 2 |
39.0 | No | Travel_Rarely | 1329.0 | Sales | 4.0 | 4 | Life Sciences | 1 | 182 | 4 | Female | 47 | 2 | 2 | Sales Executive | 3 | Married | 5902 | 14590 | 4 | Y | No | 14 | 3 | 3 | 80 | 1 | 17 | 1 | 4 | 15 | 11 | 5 | 9 |
30.0 | No | Non-Travel | 879.0 | Research & Development | 9.0 | 2 | Medical | 1 | 1298 | 3 | Female | 72 | 3 | 2 | Manufacturing Director | 3 | Single | 4695 | 12858 | 7 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 8 | 4 | 1 | 7 |
30.0 | No | Travel_Rarely | 852.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 104 | 4 | Male | 55 | 2 | 2 | Laboratory Technician | 4 | Married | 5126 | 15998 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 10 | 1 | 2 | 10 | 8 | 3 | 0 |
29.0 | No | NaN | 991.0 | Sales | NaN | 3 | Medical | 1 | 1669 | 1 | Male | 43 | 2 | 2 | Sales Executive | 2 | Divorced | 4187 | 3356 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 10 | 0 | 0 | 9 |
59.0 | No | Non-Travel | 1420.0 | Human Resources | 2.0 | 4 | Human Resources | 1 | 140 | 3 | Female | 32 | 2 | 5 | Manager | 4 | Married | 18844 | 21922 | 9 | Y | No | 21 | 4 | 4 | 80 | 1 | 30 | 3 | 3 | 3 | 2 | 2 | 2 |
36.0 | No | Non-Travel | 427.0 | Research & Development | 8.0 | 3 | Life Sciences | 1 | 742 | 1 | Female | 63 | 4 | 3 | Research Director | 1 | Married | 11713 | 20335 | 9 | Y | No | 14 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 8 | 7 | 0 | 5 |
29.0 | Yes | Travel_Rarely | NaN | Research & Development | 10.0 | 3 | Life Sciences | 1 | 994 | 4 | Female | 92 | 2 | 1 | Research Scientist | 1 | Single | 2404 | 11479 | 6 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 3 | 5 | 3 | 0 | 0 | 0 | 0 |
30.0 | Yes | Travel_Frequently | 448.0 | Sales | 12.0 | 4 | Life Sciences | 1 | 648 | 2 | Male | 74 | 2 | 1 | Sales Representative | 1 | Married | 2033 | 14470 | 1 | Y | No | 18 | 3 | 3 | 80 | 1 | 1 | 2 | 4 | 1 | 0 | 0 | 0 |
50.0 | No | Travel_Rarely | 1452.0 | Research & Development | 11.0 | 3 | Life Sciences | 1 | 226 | 3 | Female | 53 | 3 | 5 | Manager | 2 | Single | 19926 | 17053 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 21 | 5 | 3 | 5 | 4 | 4 | 4 |
37.0 | No | Travel_Rarely | 1017.0 | Research & Development | 1.0 | 2 | Medical | 1 | 340 | 3 | Female | 83 | 2 | 1 | Research Scientist | 1 | Married | 3920 | 18697 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 17 | 2 | 2 | 3 | 1 | 0 | 2 |
38.0 | No | Travel_Rarely | 849.0 | Research & Development | 25.0 | 2 | Life Sciences | 1 | 421 | 1 | Female | 81 | 2 | 3 | Research Director | 2 | Married | 12061 | 26707 | 3 | Y | No | 17 | 3 | 3 | 80 | 1 | 19 | 2 | 3 | 10 | 8 | 0 | 1 |
41.0 | No | Non-Travel | 267.0 | Sales | 10.0 | 2 | Life Sciences | 1 | 599 | 4 | Male | 56 | 3 | 2 | Sales Executive | 4 | Single | 6230 | 13430 | 7 | Y | No | 14 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 14 | 3 | 1 | 10 |
29.0 | No | Travel_Rarely | 590.0 | Research & Development | 4.0 | 3 | Technical Degree | 1 | 1762 | 4 | Female | 91 | 2 | 1 | Research Scientist | 1 | Divorced | 2109 | 10007 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
45.0 | No | Travel_Rarely | 549.0 | Research & Development | 8.0 | 4 | Other | 1 | 452 | 4 | Male | 75 | 3 | 2 | Research Scientist | 4 | Married | 3697 | 9278 | 9 | Y | No | 14 | 3 | 1 | 80 | 2 | 12 | 3 | 3 | 10 | 9 | 9 | 8 |
NaN | No | Non-Travel | 120.0 | Sales | 4.0 | 3 | Medical | 1 | 129 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Married | 4221 | 8863 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 5 | 3 | 4 | 5 | 4 | 0 | 4 |
29.0 | No | Travel_Rarely | 136.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1954 | 1 | Male | 89 | 3 | 2 | Healthcare Representative | 1 | Married | 5373 | 6225 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 2 |
42.0 | No | Travel_Rarely | 469.0 | Research & Development | 2.0 | 2 | Medical | 1 | 1109 | 4 | Male | 35 | 3 | 4 | Manager | 1 | Married | 17665 | 14399 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 22 | 6 | 13 | 7 |
48.0 | No | Travel_Rarely | 715.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1263 | 4 | Male | 76 | 2 | 5 | Research Director | 4 | Single | 18265 | 8733 | 6 | Y | No | 12 | 3 | 3 | 80 | 0 | 25 | 3 | 4 | 1 | 0 | 0 | 0 |
20.0 | Yes | Travel_Frequently | 871.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 137 | 4 | Female | 66 | 2 | 1 | Laboratory Technician | 4 | Single | 2926 | 19783 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 5 | 3 | 1 | 0 | 1 | 0 |
31.0 | No | Travel_Rarely | 1274.0 | Research & Development | 9.0 | 1 | Life Sciences | 1 | 581 | 3 | Male | 33 | 3 | 3 | Manufacturing Director | 2 | Divorced | 10648 | 14394 | 1 | Y | No | 25 | 4 | 4 | 80 | 1 | 13 | 6 | 4 | 13 | 8 | 0 | 8 |
41.0 | No | Non-Travel | 552.0 | Human Resources | 4.0 | 3 | Human Resources | 1 | 1722 | 3 | Male | 60 | 1 | 2 | Human Resources | 2 | Married | 6430 | 20794 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 10 | 4 | 3 | 3 | 2 | 1 | 2 |
29.0 | Yes | Travel_Rarely | 350.0 | Human Resources | 13.0 | 3 | Human Resources | 1 | 1844 | 1 | Male | 56 | 2 | 1 | Human Resources | 1 | Divorced | 2335 | 3157 | 4 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
42.0 | No | Travel_Rarely | 647.0 | Sales | 4.0 | 4 | Marketing | 1 | 1171 | 2 | Male | 45 | 3 | 2 | Sales Executive | 1 | Single | 5155 | 2253 | 7 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 3 | 4 | 6 | 4 | 1 | 5 |
36.0 | No | Travel_Rarely | 1120.0 | Sales | 11.0 | 4 | Marketing | 1 | 2045 | 2 | Female | 100 | 2 | 2 | Sales Executive | 4 | Married | 6652 | 14369 | 4 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 2 | 6 | 3 | 0 | 0 |
NaN | No | Travel_Rarely | 1476.0 | Research & Development | 16.0 | 2 | Medical | 1 | 412 | 2 | Male | 68 | 4 | 2 | Healthcare Representative | 1 | Single | 5661 | 4824 | 0 | Y | No | 19 | 3 | 3 | 80 | 0 | 9 | 2 | 3 | 8 | 3 | 0 | 7 |
32.0 | Yes | Travel_Rarely | 964.0 | Sales | 1.0 | 2 | Life Sciences | 1 | 1734 | 1 | Male | 34 | 1 | 2 | Sales Executive | 2 | Single | 6735 | 12147 | 6 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 0 | 0 | 0 | 0 |
36.0 | No | Travel_Rarely | 1351.0 | Research & Development | 26.0 | 4 | Life Sciences | 1 | 1682 | 1 | Male | 80 | 3 | 2 | Healthcare Representative | 3 | Married | 5347 | 7419 | 6 | Y | No | 14 | 3 | 2 | 80 | 2 | 10 | 2 | 2 | 3 | 2 | 0 | 2 |
42.0 | No | Travel_Rarely | 201.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 517 | 2 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2576 | 20490 | 3 | Y | No | 16 | 3 | 2 | 80 | 1 | 8 | 5 | 3 | 5 | 2 | 1 | 2 |
43.0 | No | Travel_Rarely | 1034.0 | Sales | 16.0 | 3 | Marketing | 1 | 327 | 4 | Female | 80 | 3 | 4 | Manager | 4 | Married | 16064 | 7744 | 5 | Y | Yes | 22 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 17 | 13 | 1 | 9 |
36.0 | No | Travel_Rarely | 530.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 1710 | 3 | Female | 51 | 3 | 2 | Sales Representative | 4 | Single | 4502 | 7439 | 3 | Y | No | 15 | 3 | 3 | 80 | 0 | 17 | 2 | 2 | 13 | 7 | 6 | 7 |
NaN | No | Non-Travel | 675.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 369 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 1 | Divorced | 4000 | 18384 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 2 | 3 | 6 | 3 | 1 | 5 |
36.0 | No | Non-Travel | 1105.0 | Research & Development | 24.0 | 4 | Life Sciences | 1 | 419 | 2 | Female | 47 | 3 | 2 | Laboratory Technician | 2 | Married | 5674 | 6927 | 7 | Y | No | 15 | 3 | 3 | 80 | 1 | 11 | 3 | 3 | 9 | 8 | 0 | 8 |
36.0 | No | Travel_Frequently | 1467.0 | Sales | 11.0 | 2 | Technical Degree | 1 | 154 | 2 | Female | 92 | 3 | 3 | Sales Executive | 4 | Married | 9738 | 22952 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 2 | 8 |
38.0 | No | Travel_Frequently | 1189.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1668 | 4 | Male | 90 | 3 | 2 | Research Scientist | 4 | Married | 4735 | 9867 | 7 | Y | No | 15 | 3 | 4 | 80 | 2 | 19 | 4 | 4 | 13 | 11 | 2 | 9 |
33.0 | No | Travel_Rarely | 1198.0 | Research & Development | 1.0 | 4 | Other | 1 | 939 | 3 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2799 | 3339 | 3 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 3 | 2 | 0 | 2 |
45.0 | No | Travel_Frequently | 1199.0 | Research & Development | 7.0 | 4 | Life Sciences | 1 | 341 | 1 | Male | 77 | 4 | 2 | Manufacturing Director | 3 | Married | 6434 | 5118 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 9 | 1 | 3 | 3 | 2 | 0 | 2 |
27.0 | No | Travel_Rarely | 511.0 | Sales | 2.0 | 2 | Medical | 1 | 1898 | 1 | Female | 89 | 4 | 2 | Sales Executive | 3 | Single | 6500 | 26997 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 8 | 7 | 0 | 7 |
34.0 | Yes | Travel_Rarely | 790.0 | Sales | 24.0 | 4 | Medical | 1 | 1489 | 1 | Female | 40 | 2 | 2 | Sales Executive | 2 | Single | 4599 | 7815 | 0 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 16 | 2 | 4 | 15 | 9 | 10 | 10 |
29.0 | No | Travel_Rarely | 1328.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 94 | 3 | Male | 76 | 3 | 1 | Research Scientist | 2 | Married | 2703 | 4956 | 0 | Y | No | 23 | 4 | 4 | 80 | 1 | 6 | 3 | 3 | 5 | 4 | 0 | 4 |
32.0 | No | Travel_Rarely | 1093.0 | Sales | 6.0 | 4 | Medical | 1 | 125 | 2 | Male | 87 | 3 | 2 | Sales Executive | 3 | Single | 5010 | 24301 | 1 | Y | No | 16 | 3 | 1 | 80 | 0 | 12 | 0 | 3 | 11 | 8 | 5 | 7 |
46.0 | No | Travel_Rarely | 406.0 | Sales | NaN | 1 | Marketing | 1 | 1124 | 1 | Male | 52 | 3 | 4 | Manager | 3 | Married | 17465 | 15596 | 3 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 3 | 3 | 12 | 9 | 4 | 9 |
39.0 | Yes | Travel_Rarely | 895.0 | Sales | NaN | 3 | Technical Degree | 1 | 42 | 4 | Male | 56 | 3 | 2 | Sales Representative | 4 | Married | 2086 | 3335 | 3 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 6 | 4 | 1 | 0 | 0 | 0 |
44.0 | No | Travel_Rarely | 136.0 | Research & Development | 28.0 | 3 | Life Sciences | 1 | 1523 | 4 | Male | 32 | 3 | 4 | Research Director | 1 | Married | 16328 | 22074 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 24 | 1 | 4 | 20 | 6 | 14 | 17 |
40.0 | No | Travel_Rarely | 302.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 601 | 2 | Female | 75 | 3 | 4 | Manufacturing Director | 3 | Single | 13237 | 20364 | 7 | Y | No | 15 | 3 | 3 | 80 | 0 | 22 | 3 | 3 | 20 | 6 | 5 | 13 |
55.0 | No | Travel_Rarely | 1117.0 | Sales | 18.0 | 5 | Life Sciences | 1 | 597 | 1 | Female | 83 | 3 | 4 | Manager | 2 | Single | 16835 | 9873 | 3 | Y | No | 23 | 4 | 4 | 80 | 0 | 37 | 2 | 3 | 10 | 9 | 7 | 7 |
41.0 | No | Travel_Frequently | 840.0 | Research & Development | 9.0 | 3 | Medical | 1 | 999 | 1 | Male | 64 | 3 | 5 | Research Director | 3 | Divorced | 19419 | 3735 | 2 | Y | No | 17 | 3 | 2 | 80 | 1 | 21 | 2 | 4 | 18 | 16 | 0 | 11 |
43.0 | Yes | Travel_Rarely | NaN | Sales | 9.0 | 3 | Marketing | 1 | 1188 | 1 | Female | 85 | 1 | 2 | Sales Executive | 3 | Single | 5346 | 9489 | 8 | Y | No | 13 | 3 | 2 | 80 | 0 | 7 | 2 | 2 | 4 | 3 | 1 | 3 |
38.0 | No | Travel_Rarely | 437.0 | Sales | 16.0 | 3 | Life Sciences | 1 | 1583 | 2 | Female | 90 | 3 | 2 | Sales Executive | 2 | Single | 4198 | 16379 | 2 | Y | No | 12 | 3 | 2 | 80 | 0 | 8 | 5 | 4 | 3 | 2 | 1 | 2 |
29.0 | Yes | Travel_Rarely | 428.0 | Sales | 9.0 | 3 | Marketing | 1 | 1752 | 2 | Female | 52 | 1 | 1 | Sales Representative | 2 | Single | 2760 | 14630 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
NaN | No | Travel_Rarely | 652.0 | Research & Development | 7.0 | 3 | Other | 1 | 1417 | 3 | Male | 100 | 4 | 1 | Laboratory Technician | 1 | Single | 3578 | 23577 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 7 |
45.0 | No | Travel_Rarely | 193.0 | Research & Development | 6.0 | 4 | Other | 1 | 101 | 4 | Male | 52 | 3 | 3 | Research Director | 1 | Married | 13245 | 15067 | 4 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 17 | 3 | 4 | 0 | 0 | 0 | 0 |
34.0 | No | Travel_Rarely | 1153.0 | Research & Development | 1.0 | 2 | Medical | 1 | 110 | 1 | Male | 94 | 3 | 2 | Manufacturing Director | 2 | Married | 4325 | 17736 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 5 | 2 | 3 | 5 | 2 | 1 | 3 |
38.0 | No | Travel_Frequently | 693.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 1382 | 4 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2610 | 15748 | 1 | Y | No | 11 | 3 | 4 | 80 | 3 | 4 | 2 | 3 | 4 | 2 | 0 | 3 |
55.0 | No | Travel_Rarely | 111.0 | Sales | 1.0 | 2 | Life Sciences | 1 | 106 | 1 | Male | 70 | 3 | 3 | Sales Executive | 4 | Married | 10239 | 18092 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 1 | 0 | 1 | 0 |
18.0 | Yes | Travel_Frequently | 1306.0 | Sales | NaN | 3 | Marketing | 1 | 614 | 2 | Male | 69 | 3 | 1 | Sales Representative | 2 | Single | 1878 | 8059 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 0 | 3 | 3 | 0 | 0 | 0 | 0 |
40.0 | No | Travel_Rarely | 884.0 | Research & Development | 15.0 | 3 | Life Sciences | 1 | 1628 | 1 | Female | 80 | 2 | 3 | Manufacturing Director | 3 | Married | 10435 | 25800 | 1 | Y | No | 13 | 3 | 4 | 80 | 2 | 18 | 2 | 3 | 18 | 15 | 14 | 12 |
NaN | No | Travel_Rarely | 1137.0 | Research & Development | 21.0 | 1 | Life Sciences | 1 | 942 | 4 | Female | 51 | 3 | 2 | Healthcare Representative | 4 | Married | 4014 | 19170 | 1 | Y | Yes | 25 | 4 | 4 | 80 | 1 | 10 | 2 | 1 | 10 | 6 | 0 | 7 |
NaN | No | Non-Travel | 1476.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1315 | 3 | Female | 55 | 1 | 2 | Laboratory Technician | 4 | Married | 6674 | 16392 | 0 | Y | No | 11 | 3 | 1 | 80 | 3 | 10 | 6 | 3 | 9 | 8 | 7 | 5 |
20.0 | No | Travel_Rarely | 727.0 | Sales | 9.0 | 1 | Life Sciences | 1 | 1680 | 4 | Male | 54 | 3 | 1 | Sales Representative | 1 | Single | 2728 | 21082 | 1 | Y | No | 11 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
33.0 | Yes | Travel_Rarely | 587.0 | Research & Development | 10.0 | 1 | Medical | 1 | 584 | 1 | Male | 38 | 1 | 1 | Laboratory Technician | 4 | Divorced | 3408 | 6705 | 7 | Y | No | 13 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 4 | 3 | 1 | 3 |
31.0 | No | Travel_Rarely | 1222.0 | Research & Development | 11.0 | 4 | Life Sciences | 1 | 895 | 4 | Male | 48 | 3 | 1 | Research Scientist | 4 | Married | 2356 | 14871 | 3 | Y | Yes | 19 | 3 | 2 | 80 | 1 | 8 | 2 | 3 | 6 | 4 | 0 | 2 |
40.0 | No | Travel_Rarely | 1492.0 | Research & Development | 20.0 | 4 | Technical Degree | 1 | 1092 | 1 | Male | 61 | 3 | 3 | Healthcare Representative | 4 | Married | 10322 | 26542 | 4 | Y | No | 20 | 4 | 4 | 80 | 1 | 14 | 6 | 3 | 11 | 10 | 11 | 1 |
50.0 | No | Travel_Frequently | 1421.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1215 | 4 | Female | 30 | 3 | 4 | Manager | 1 | Married | 17856 | 9490 | 2 | Y | No | 22 | 4 | 3 | 80 | 1 | 32 | 3 | 3 | 2 | 2 | 2 | 2 |
27.0 | No | Travel_Frequently | 591.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1648 | 4 | Male | 87 | 3 | 1 | Research Scientist | 4 | Single | 2580 | 6297 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 1300.0 | Research & Development | 17.0 | 2 | Medical | 1 | 536 | 3 | Male | 79 | 3 | 2 | Laboratory Technician | 1 | Divorced | 4558 | 13535 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 0 | 1 | 8 |
36.0 | No | Travel_Rarely | 1383.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 1790 | 4 | Male | 90 | 3 | 3 | Healthcare Representative | 1 | Married | 8321 | 25949 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 15 | 1 | 3 | 12 | 8 | 5 | 7 |
53.0 | No | Travel_Rarely | 447.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1472 | 4 | Male | 39 | 4 | 4 | Research Director | 2 | Single | 16598 | 19764 | 4 | Y | No | 12 | 3 | 2 | 80 | 0 | 35 | 2 | 2 | 9 | 8 | 8 | 8 |
42.0 | No | Travel_Rarely | 1128.0 | Research & Development | 13.0 | 3 | Medical | 1 | 1803 | 2 | Male | 95 | 4 | 2 | Healthcare Representative | 1 | Married | 5538 | 5696 | 5 | Y | No | 18 | 3 | 3 | 80 | 2 | 10 | 2 | 2 | 0 | 0 | 0 | 0 |
37.0 | No | Non-Travel | 1040.0 | Research & Development | 2.0 | 2 | Life Sciences | 1 | 139 | 3 | Male | 100 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5163 | 15850 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 17 | 2 | 4 | 1 | 0 | 0 | 0 |
43.0 | No | Travel_Rarely | 589.0 | Research & Development | 14.0 | 2 | Life Sciences | 1 | 843 | 2 | Male | 94 | 3 | 4 | Research Director | 1 | Married | 17159 | 5200 | 6 | Y | No | 24 | 4 | 3 | 80 | 1 | 22 | 3 | 3 | 4 | 1 | 1 | 0 |
23.0 | No | Travel_Rarely | 373.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 1270 | 4 | Male | 47 | 3 | 1 | Research Scientist | 3 | Married | 1223 | 16901 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 1 |
52.0 | No | Travel_Rarely | 258.0 | Research & Development | 8.0 | 4 | Other | 1 | 1409 | 3 | Female | 54 | 3 | 1 | Laboratory Technician | 1 | Married | 2950 | 17363 | 9 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 2 | 1 | 5 | 4 | 0 | 4 |
29.0 | No | Travel_Rarely | 1010.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1249 | 1 | Female | 97 | 3 | 1 | Research Scientist | 4 | Divorced | 3760 | 5598 | 1 | Y | No | 15 | 3 | 1 | 80 | 3 | 3 | 5 | 3 | 3 | 2 | 1 | 2 |
50.0 | No | Travel_Rarely | 989.0 | Research & Development | 7.0 | 2 | Medical | 1 | 80 | 2 | Female | 43 | 2 | 5 | Research Director | 3 | Divorced | 18740 | 16701 | 5 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 27 | 3 | 13 | 8 |
42.0 | No | Travel_Rarely | 635.0 | Sales | 1.0 | 1 | Life Sciences | 1 | 387 | 2 | Male | 99 | 3 | 2 | Sales Executive | 3 | Married | 4907 | 24532 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 20 | 3 | 3 | 20 | 16 | 11 | 6 |
34.0 | No | Travel_Rarely | 628.0 | Research & Development | 8.0 | 3 | Medical | 1 | 2068 | 2 | Male | 82 | 4 | 2 | Laboratory Technician | 3 | Married | 4404 | 10228 | 2 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 3 | 4 | 4 | 3 | 1 | 2 |
32.0 | No | NaN | 1401.0 | Sales | 4.0 | 2 | Life Sciences | 1 | 330 | 3 | Female | 56 | 3 | 1 | Sales Representative | 2 | Married | 3931 | 20990 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 6 | 5 | 3 | 4 | 3 | 1 | 2 |
38.0 | No | Travel_Rarely | 119.0 | Sales | NaN | 3 | Life Sciences | 1 | 307 | 1 | Male | 76 | 3 | 3 | Sales Executive | 3 | Divorced | 10609 | 9647 | 0 | Y | No | 12 | 3 | 3 | 80 | 2 | 17 | 6 | 2 | 16 | 10 | 5 | 13 |
30.0 | No | Travel_Rarely | 201.0 | Research & Development | NaN | 3 | Technical Degree | 1 | 197 | 4 | Female | 84 | 3 | 1 | Research Scientist | 1 | Divorced | 3204 | 10415 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 8 | 3 | 3 | 3 | 2 | 2 | 2 |
56.0 | No | Travel_Rarely | NaN | Sales | 11.0 | 5 | Marketing | 1 | 1935 | 4 | Female | 89 | 2 | 2 | Sales Executive | 1 | Married | 5380 | 20328 | 4 | Y | No | 16 | 3 | 3 | 80 | 1 | 6 | 3 | 3 | 0 | 0 | 0 | 0 |
27.0 | No | Travel_Rarely | 1469.0 | Research & Development | 1.0 | 2 | Medical | 1 | 497 | 4 | Male | 82 | 3 | 1 | Laboratory Technician | 2 | Divorced | 3816 | 17881 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 0 | 4 |
36.0 | No | Travel_Rarely | 922.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 155 | 1 | Female | 39 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2835 | 2561 | 5 | Y | No | 22 | 4 | 1 | 80 | 1 | 7 | 2 | 3 | 1 | 0 | 0 | 0 |
40.0 | No | NaN | 616.0 | Research & Development | 2.0 | 2 | Life Sciences | 1 | 1802 | 3 | Female | 99 | 3 | 1 | Laboratory Technician | 1 | Married | 3377 | 25605 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 4 | 3 | 0 | 2 |
37.0 | Yes | Travel_Frequently | 504.0 | Research & Development | 10.0 | 3 | Medical | 1 | 342 | 1 | Male | 61 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10048 | 22573 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 17 | 5 | 3 | 1 | 0 | 0 | 0 |
33.0 | No | Non-Travel | 1313.0 | Research & Development | 1.0 | 2 | Medical | 1 | 1994 | 2 | Male | 59 | 2 | 1 | Laboratory Technician | 3 | Divorced | 2008 | 20439 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 2 | 2 | 1 | 1 | 0 | 0 |
36.0 | No | Travel_Rarely | 1299.0 | Research & Development | 27.0 | 3 | Medical | 1 | 13 | 3 | Male | 94 | 3 | 2 | Healthcare Representative | 3 | Married | 5237 | 16577 | 6 | Y | No | 13 | 3 | 2 | 80 | 2 | 17 | 3 | 2 | 7 | 7 | 7 | 7 |
39.0 | No | Travel_Frequently | 443.0 | Research & Development | 8.0 | 1 | Life Sciences | 1 | 602 | 3 | Female | 48 | 3 | 1 | Laboratory Technician | 3 | Married | 3755 | 17872 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 8 | 3 | 3 | 8 | 3 | 0 | 7 |
36.0 | No | Non-Travel | 1229.0 | Sales | 8.0 | 4 | Technical Degree | 1 | 990 | 1 | Male | 84 | 3 | 2 | Sales Executive | 4 | Divorced | 5079 | 25952 | 4 | Y | No | 13 | 3 | 4 | 80 | 2 | 12 | 3 | 3 | 7 | 7 | 0 | 7 |
NaN | No | Travel_Rarely | NaN | Research & Development | 1.0 | 3 | Life Sciences | 1 | 350 | 1 | Female | 62 | 3 | 2 | Manufacturing Director | 3 | Married | 4898 | 7505 | 0 | Y | No | 12 | 3 | 4 | 80 | 2 | 5 | 3 | 3 | 4 | 2 | 1 | 2 |
36.0 | No | Travel_Rarely | 676.0 | Research & Development | 1.0 | 3 | Other | 1 | 823 | 3 | Female | 35 | 3 | 2 | Manufacturing Director | 2 | Married | 5228 | 23361 | 0 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 9 | 7 | 0 | 5 |
37.0 | No | Travel_Rarely | 1305.0 | Research & Development | 10.0 | 4 | Life Sciences | 1 | 518 | 3 | Male | 49 | 3 | 2 | Manufacturing Director | 2 | Single | 4197 | 21123 | 2 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 2 | 1 | 0 | 0 | 1 |
51.0 | No | Travel_Frequently | 237.0 | Sales | 9.0 | 3 | Life Sciences | 1 | 1282 | 4 | Male | 83 | 3 | 5 | Manager | 2 | Divorced | 19847 | 19196 | 4 | Y | Yes | 24 | 4 | 1 | 80 | 1 | 31 | 5 | 2 | 29 | 10 | 11 | 10 |
49.0 | No | Travel_Rarely | 301.0 | Research & Development | 22.0 | 4 | Other | 1 | 1655 | 1 | Female | 72 | 3 | 4 | Research Director | 2 | Married | 16413 | 3498 | 3 | Y | No | 16 | 3 | 2 | 80 | 2 | 27 | 2 | 3 | 4 | 2 | 1 | 2 |
NaN | No | Non-Travel | 1225.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 771 | 4 | Female | 61 | 3 | 2 | Healthcare Representative | 1 | Divorced | 5093 | 4761 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 16 | 2 | 4 | 1 | 0 | 0 | 0 |
43.0 | Yes | Travel_Frequently | 807.0 | Research & Development | 17.0 | 3 | Technical Degree | 1 | 1767 | 3 | Male | 38 | 2 | 1 | Research Scientist | 3 | Married | 2437 | 15587 | 9 | Y | Yes | 16 | 3 | 4 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
33.0 | No | Travel_Frequently | 970.0 | Sales | 7.0 | 3 | Life Sciences | 1 | 1114 | 4 | Female | 30 | 3 | 2 | Sales Executive | 2 | Married | 4302 | 13401 | 0 | Y | No | 17 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
NaN | No | Travel_Rarely | 775.0 | Sales | 29.0 | 2 | Medical | 1 | 618 | 1 | Male | 45 | 3 | 2 | Sales Executive | 3 | Divorced | 4306 | 4267 | 5 | Y | No | 12 | 3 | 1 | 80 | 2 | 8 | 5 | 3 | 0 | 0 | 0 | 0 |
46.0 | No | Travel_Rarely | 566.0 | Research & Development | 7.0 | 2 | Medical | 1 | 1007 | 4 | Male | 75 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10845 | 24208 | 6 | Y | No | 13 | 3 | 2 | 80 | 1 | 13 | 3 | 3 | 8 | 7 | 0 | 7 |
56.0 | Yes | Travel_Rarely | 1162.0 | Research & Development | 24.0 | 2 | Life Sciences | 1 | 1907 | 1 | Male | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 2587 | 10261 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 5 | 3 | 3 | 4 | 2 | 1 | 0 |
32.0 | No | Travel_Frequently | 689.0 | Sales | 9.0 | 2 | Medical | 1 | 195 | 4 | Male | 35 | 1 | 2 | Sales Executive | 4 | Divorced | 4668 | 22812 | 0 | Y | No | 17 | 3 | 4 | 80 | 3 | 9 | 2 | 4 | 8 | 7 | 0 | 7 |
30.0 | No | Travel_Frequently | 160.0 | Research & Development | NaN | 3 | Medical | 1 | 680 | 3 | Female | 71 | 3 | 1 | Research Scientist | 3 | Divorced | 2083 | 22653 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
30.0 | Yes | Travel_Rarely | 740.0 | Sales | 1.0 | 3 | Life Sciences | 1 | 1562 | 2 | Male | 64 | 2 | 2 | Sales Executive | 1 | Married | 9714 | 5323 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 4 | 3 | 10 | 8 | 6 | 7 |
27.0 | No | Travel_Rarely | 1055.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 1027 | 1 | Female | 47 | 3 | 2 | Manufacturing Director | 4 | Married | 4227 | 4658 | 0 | Y | No | 18 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
42.0 | No | Travel_Rarely | 1396.0 | Research & Development | 6.0 | 3 | Medical | 1 | 1911 | 3 | Male | 83 | 3 | 3 | Research Director | 1 | Married | 13348 | 14842 | 9 | Y | No | 13 | 3 | 2 | 80 | 1 | 18 | 3 | 4 | 13 | 7 | 5 | 7 |
20.0 | Yes | Travel_Rarely | 1097.0 | Research & Development | 11.0 | 3 | Medical | 1 | 1016 | 4 | Female | 98 | 2 | 1 | Research Scientist | 1 | Single | 2600 | 18275 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
50.0 | No | Travel_Rarely | 316.0 | Sales | 8.0 | 4 | Marketing | 1 | 738 | 4 | Male | 54 | 3 | 1 | Sales Representative | 2 | Married | 3875 | 9983 | 7 | Y | No | 15 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
19.0 | Yes | Travel_Rarely | 303.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 243 | 2 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Single | 1102 | 9241 | 1 | Y | No | 22 | 4 | 3 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
31.0 | No | Travel_Rarely | 1154.0 | Sales | 2.0 | 2 | Life Sciences | 1 | 1996 | 1 | Male | 54 | 3 | 1 | Sales Representative | 3 | Married | 3067 | 6393 | 0 | Y | No | 19 | 3 | 3 | 80 | 1 | 3 | 1 | 3 | 2 | 2 | 1 | 2 |
29.0 | No | Travel_Frequently | 1404.0 | Sales | 20.0 | 3 | Technical Degree | 1 | 974 | 3 | Female | 84 | 3 | 1 | Sales Representative | 4 | Married | 2157 | 18203 | 1 | Y | No | 15 | 3 | 2 | 80 | 1 | 3 | 5 | 3 | 3 | 1 | 0 | 2 |
42.0 | No | Travel_Rarely | 1142.0 | Research & Development | 8.0 | 3 | Life Sciences | 1 | 1860 | 4 | Male | 81 | 3 | 1 | Laboratory Technician | 3 | Single | 3968 | 13624 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 0 | 0 | 0 | 0 |
36.0 | No | Travel_Rarely | 1266.0 | Sales | 10.0 | 4 | Technical Degree | 1 | 1880 | 2 | Female | 63 | 2 | 2 | Sales Executive | 3 | Married | 5673 | 6060 | 1 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 4 | 3 | 10 | 9 | 1 | 7 |
42.0 | Yes | Travel_Frequently | 481.0 | Sales | 12.0 | 3 | Life Sciences | 1 | 1167 | 3 | Male | 44 | 3 | 4 | Sales Executive | 1 | Single | 13758 | 2447 | 0 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 22 | 2 | 2 | 21 | 9 | 13 | 14 |
46.0 | No | Travel_Rarely | 1402.0 | Sales | 2.0 | 3 | Marketing | 1 | 1204 | 3 | Female | 69 | 3 | 4 | Manager | 1 | Married | 17048 | 24097 | 8 | Y | No | 23 | 4 | 1 | 80 | 0 | 28 | 2 | 3 | 26 | 15 | 15 | 9 |
39.0 | No | Travel_Rarely | 722.0 | Sales | 24.0 | 1 | Marketing | 1 | 2056 | 2 | Female | 60 | 2 | 4 | Sales Executive | 4 | Married | 12031 | 8828 | 0 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 2 | 2 | 20 | 9 | 9 | 6 |
30.0 | No | Travel_Rarely | 1358.0 | Research & Development | 24.0 | 1 | Life Sciences | 1 | 11 | 4 | Male | 67 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2693 | 13335 | 1 | Y | No | 22 | 4 | 2 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
36.0 | No | Travel_Rarely | 172.0 | Research & Development | 4.0 | 4 | Life Sciences | 1 | 1435 | 1 | Male | 37 | 2 | 2 | Laboratory Technician | 4 | Single | 5810 | 22604 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 1 | 8 |
41.0 | Yes | Travel_Rarely | 1085.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 927 | 2 | Female | 57 | 1 | 1 | Laboratory Technician | 4 | Divorced | 2778 | 17725 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 1 | 2 | 7 | 7 | 1 | 0 |
22.0 | No | Non-Travel | 457.0 | Research & Development | 26.0 | 2 | Other | 1 | 1605 | 2 | Female | 85 | 2 | 1 | Research Scientist | 3 | Married | 2814 | 10293 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 4 | 2 | 2 | 4 | 2 | 1 | 3 |
21.0 | Yes | Travel_Frequently | 756.0 | Sales | 1.0 | 1 | Technical Degree | 1 | 478 | 1 | Female | 99 | 2 | 1 | Sales Representative | 2 | Single | 2174 | 9150 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 3 | 3 | 3 | 3 | 2 | 1 | 2 |
41.0 | No | Travel_Rarely | 509.0 | Research & Development | 7.0 | 2 | Technical Degree | 1 | 1085 | 2 | Female | 43 | 4 | 1 | Research Scientist | 3 | Married | 3376 | 18863 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 10 | 3 | 3 | 10 | 6 | 0 | 8 |
NaN | No | Travel_Rarely | 992.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1564 | 4 | Male | 68 | 2 | 1 | Laboratory Technician | 1 | Single | 2450 | 21731 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 3 | 3 | 3 | 3 | 0 | 1 | 2 |
47.0 | No | Travel_Rarely | 1482.0 | Research & Development | NaN | 5 | Life Sciences | 1 | 447 | 4 | Male | 42 | 3 | 5 | Research Director | 3 | Married | 18300 | 16375 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 3 | 2 | 1 | 1 |
45.0 | No | Travel_Rarely | NaN | Research & Development | 20.0 | 3 | Medical | 1 | 1460 | 2 | Male | 95 | 1 | 3 | Healthcare Representative | 1 | Divorced | 10851 | 19863 | 2 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 24 | 2 | 3 | 7 | 7 | 0 | 7 |
29.0 | No | Travel_Frequently | 995.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1590 | 1 | Male | 87 | 3 | 2 | Healthcare Representative | 4 | Divorced | 8853 | 24483 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 6 | 0 | 4 | 6 | 4 | 1 | 3 |
NaN | No | Travel_Rarely | 1167.0 | Sales | NaN | 3 | Other | 1 | 2060 | 4 | Female | 30 | 2 | 1 | Sales Representative | 3 | Single | 2966 | 21378 | 0 | Y | No | 18 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 4 | 2 | 0 | 0 |
51.0 | No | Travel_Rarely | 833.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 353 | 3 | Male | 96 | 3 | 1 | Research Scientist | 4 | Married | 2723 | 23231 | 1 | Y | No | 11 | 3 | 2 | 80 | 0 | 1 | 0 | 2 | 1 | 0 | 0 | 0 |
34.0 | No | Travel_Frequently | 735.0 | Research & Development | 22.0 | 4 | Other | 1 | 1932 | 3 | Male | 86 | 2 | 2 | Research Scientist | 4 | Married | 5747 | 26496 | 1 | Y | Yes | 15 | 3 | 2 | 80 | 0 | 16 | 3 | 3 | 15 | 10 | 6 | 11 |
NaN | No | Travel_Rarely | 755.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 496 | 3 | Male | 97 | 2 | 2 | Healthcare Representative | 2 | Single | 6540 | 19394 | 9 | Y | No | 19 | 3 | 3 | 80 | 0 | 10 | 5 | 3 | 1 | 1 | 0 | 0 |
40.0 | Yes | Travel_Rarely | 676.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 1534 | 4 | Male | 86 | 3 | 1 | Laboratory Technician | 1 | Single | 2018 | 21831 | 3 | Y | No | 14 | 3 | 2 | 80 | 0 | 15 | 3 | 1 | 5 | 4 | 1 | 0 |
42.0 | No | Travel_Frequently | 458.0 | Research & Development | 26.0 | 5 | Medical | 1 | 1242 | 1 | Female | 60 | 3 | 3 | Research Director | 1 | Married | 13191 | 23281 | 3 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 20 | 6 | 3 | 1 | 0 | 0 | 0 |
38.0 | No | Travel_Rarely | 364.0 | Research & Development | NaN | 5 | Technical Degree | 1 | 193 | 4 | Female | 32 | 3 | 2 | Research Scientist | 3 | Single | 4317 | 2302 | 3 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 19 | 2 | 3 | 3 | 2 | 2 | 2 |
24.0 | Yes | Travel_Rarely | 693.0 | Sales | NaN | 2 | Life Sciences | 1 | 720 | 1 | Female | 65 | 3 | 2 | Sales Executive | 3 | Single | 4577 | 24785 | 9 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 2 | 0 |
39.0 | No | Travel_Rarely | 1462.0 | Sales | 6.0 | 3 | Medical | 1 | 1588 | 4 | Male | 38 | 4 | 3 | Sales Executive | 3 | Married | 8237 | 4658 | 2 | Y | No | 11 | 3 | 1 | 80 | 1 | 11 | 3 | 3 | 7 | 6 | 7 | 6 |
40.0 | No | Travel_Rarely | 329.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 1361 | 2 | Male | 88 | 3 | 1 | Laboratory Technician | 2 | Married | 2387 | 6762 | 3 | Y | No | 22 | 4 | 3 | 80 | 1 | 7 | 3 | 3 | 4 | 2 | 0 | 3 |
45.0 | No | Travel_Rarely | 538.0 | Research & Development | 1.0 | 4 | Technical Degree | 1 | 1553 | 1 | Male | 66 | 3 | 3 | Healthcare Representative | 2 | Divorced | 7441 | 20933 | 1 | Y | No | 12 | 3 | 1 | 80 | 3 | 10 | 4 | 3 | 10 | 8 | 7 | 7 |
40.0 | No | Travel_Rarely | 1194.0 | Research & Development | 2.0 | 4 | Medical | 1 | 2051 | 3 | Female | 98 | 3 | 1 | Research Scientist | 3 | Married | 2001 | 12549 | 2 | Y | No | 14 | 3 | 2 | 80 | 3 | 20 | 2 | 3 | 5 | 3 | 0 | 2 |
34.0 | Yes | Travel_Frequently | 988.0 | Human Resources | 23.0 | 3 | Human Resources | 1 | 590 | 2 | Female | 43 | 3 | 3 | Human Resources | 1 | Divorced | 9950 | 11533 | 9 | Y | Yes | 15 | 3 | 3 | 80 | 3 | 11 | 2 | 3 | 3 | 2 | 0 | 2 |
32.0 | No | Travel_Rarely | 1018.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 727 | 3 | Female | 39 | 3 | 3 | Research Director | 4 | Single | 11159 | 19373 | 3 | Y | No | 15 | 3 | 4 | 80 | 0 | 10 | 6 | 3 | 7 | 7 | 7 | 7 |
50.0 | No | Travel_Rarely | 813.0 | Research & Development | 17.0 | 5 | Life Sciences | 1 | 1656 | 4 | Female | 50 | 2 | 3 | Research Director | 1 | Divorced | 13269 | 21981 | 5 | Y | No | 15 | 3 | 3 | 80 | 3 | 19 | 3 | 3 | 14 | 11 | 1 | 11 |
37.0 | No | Travel_Frequently | 319.0 | Sales | 4.0 | 4 | Marketing | 1 | 311 | 1 | Male | 41 | 3 | 1 | Sales Representative | 4 | Divorced | 2793 | 2539 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 5 | 8 |
29.0 | Yes | Travel_Frequently | 337.0 | Research & Development | 14.0 | 1 | Other | 1 | 1421 | 3 | Female | 84 | 3 | 3 | Healthcare Representative | 4 | Single | 7553 | 22930 | 0 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 9 | 1 | 3 | 8 | 7 | 7 | 7 |
NaN | No | Travel_Frequently | 944.0 | Sales | 1.0 | 3 | Marketing | 1 | 314 | 3 | Female | 92 | 3 | 3 | Sales Executive | 3 | Single | 8789 | 9096 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 10 | 3 | 4 | 10 | 7 | 0 | 8 |
31.0 | No | Travel_Frequently | 1125.0 | Sales | 7.0 | 4 | Marketing | 1 | 1833 | 1 | Female | 68 | 3 | 3 | Sales Executive | 1 | Married | 9637 | 8277 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 9 | 3 | 3 | 3 | 2 | 2 | 2 |
38.0 | No | Travel_Rarely | 1153.0 | Research & Development | 6.0 | 2 | Other | 1 | 1782 | 4 | Female | 40 | 2 | 1 | Laboratory Technician | 3 | Married | 3702 | 16376 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
27.0 | No | Travel_Frequently | 1242.0 | Sales | 20.0 | 3 | Life Sciences | 1 | 293 | 4 | Female | 90 | 3 | 2 | Sales Executive | 3 | Single | 9981 | 12916 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
46.0 | No | Travel_Rarely | 945.0 | Human Resources | NaN | 2 | Medical | 1 | 103 | 2 | Male | 80 | 3 | 2 | Human Resources | 2 | Divorced | 5021 | 10425 | 8 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 16 | 2 | 3 | 4 | 2 | 0 | 2 |
41.0 | No | Travel_Rarely | 933.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 200 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Married | 2238 | 6961 | 2 | Y | No | 21 | 4 | 4 | 80 | 1 | 7 | 2 | 3 | 5 | 0 | 1 | 4 |
40.0 | No | Travel_Rarely | 1308.0 | Research & Development | 14.0 | 3 | Medical | 1 | 1128 | 3 | Male | 44 | 2 | 5 | Research Director | 3 | Single | 19626 | 17544 | 1 | Y | No | 14 | 3 | 1 | 80 | 0 | 21 | 2 | 4 | 20 | 7 | 4 | 9 |
30.0 | No | Travel_Rarely | 1329.0 | Sales | 29.0 | 4 | Life Sciences | 1 | 1211 | 3 | Male | 61 | 3 | 2 | Sales Executive | 1 | Divorced | 4115 | 13192 | 8 | Y | No | 19 | 3 | 3 | 80 | 3 | 8 | 3 | 3 | 4 | 3 | 0 | 3 |
30.0 | No | Travel_Rarely | 853.0 | Research & Development | 7.0 | 4 | Life Sciences | 1 | 1224 | 3 | Male | 49 | 3 | 2 | Laboratory Technician | 3 | Divorced | 3491 | 11309 | 1 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 4 | 2 | 10 | 7 | 8 | 9 |
34.0 | No | Travel_Rarely | 546.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 934 | 2 | Male | 83 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2008 | 6896 | 1 | Y | No | 14 | 3 | 2 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 1 | 0 |
40.0 | No | Travel_Rarely | 118.0 | Sales | 14.0 | 2 | Life Sciences | 1 | 1598 | 4 | Female | 84 | 3 | 2 | Sales Executive | 1 | Married | 4639 | 11262 | 1 | Y | No | 15 | 3 | 3 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
29.0 | No | Travel_Rarely | 1090.0 | Sales | 10.0 | 3 | Marketing | 1 | 766 | 4 | Male | 83 | 3 | 1 | Sales Representative | 2 | Divorced | 2297 | 17967 | 1 | Y | No | 14 | 3 | 4 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
46.0 | No | Travel_Rarely | 1450.0 | Research & Development | 15.0 | 2 | Life Sciences | 1 | 1217 | 4 | Male | 52 | 3 | 5 | Research Director | 2 | Married | 19081 | 10849 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 25 | 2 | 3 | 4 | 2 | 0 | 3 |
41.0 | No | Travel_Rarely | 802.0 | Sales | 9.0 | 1 | Life Sciences | 1 | 176 | 3 | Male | 96 | 3 | 3 | Sales Executive | 3 | Divorced | 8189 | 21196 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 9 | 7 | 0 | 7 |
39.0 | No | Non-Travel | 1251.0 | Sales | 21.0 | 4 | Life Sciences | 1 | 1929 | 1 | Female | 32 | 1 | 2 | Sales Executive | 3 | Married | 5736 | 3987 | 6 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 1 | 3 | 3 | 2 | 1 | 2 |
29.0 | No | Travel_Frequently | 490.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 1143 | 4 | Female | 61 | 3 | 1 | Research Scientist | 2 | Divorced | 3291 | 17940 | 0 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 2 | 7 | 5 | 1 | 1 |
52.0 | No | Travel_Rarely | 1490.0 | Research & Development | 4.0 | 2 | Life Sciences | 1 | 546 | 4 | Female | 30 | 3 | 4 | Manager | 4 | Married | 16555 | 10310 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 31 | 2 | 1 | 5 | 2 | 1 | 4 |
37.0 | No | Travel_Rarely | 1439.0 | Research & Development | 4.0 | 1 | Life Sciences | 1 | 1394 | 3 | Male | 54 | 3 | 1 | Research Scientist | 3 | Married | 2996 | 5182 | 7 | Y | Yes | 15 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 6 | 4 | 1 | 3 |
29.0 | No | Travel_Rarely | 1176.0 | Sales | NaN | 2 | Medical | 1 | 690 | 2 | Female | 62 | 3 | 2 | Sales Executive | 3 | Married | 5561 | 3487 | 1 | Y | No | 14 | 3 | 1 | 80 | 1 | 6 | 5 | 2 | 6 | 0 | 1 | 2 |
44.0 | No | Travel_Rarely | 528.0 | Human Resources | 1.0 | 3 | Life Sciences | 1 | 1683 | 3 | Female | 44 | 3 | 1 | Human Resources | 4 | Divorced | 3195 | 4167 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
45.0 | Yes | Travel_Frequently | 306.0 | Sales | 26.0 | 4 | Life Sciences | 1 | 684 | 1 | Female | 100 | 3 | 2 | Sales Executive | 1 | Married | 4286 | 5630 | 2 | Y | No | 14 | 3 | 4 | 80 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 0 |
NaN | No | Travel_Rarely | NaN | Sales | 18.0 | 1 | Life Sciences | 1 | 1399 | 1 | Male | 93 | 4 | 2 | Sales Executive | 3 | Married | 6232 | 12477 | 2 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 3 | 2 | 1 | 2 |
47.0 | No | Travel_Frequently | 1309.0 | Sales | 4.0 | 1 | Medical | 1 | 467 | 2 | Male | 99 | 3 | 2 | Sales Representative | 3 | Single | 2976 | 25751 | 3 | Y | No | 19 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 0 | 0 | 0 | 0 |
37.0 | No | Travel_Rarely | 1107.0 | Research & Development | 14.0 | 3 | Life Sciences | 1 | 515 | 4 | Female | 95 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3034 | 26914 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 2 | 18 | 7 | 12 | 17 |
41.0 | Yes | Travel_Rarely | 1102.0 | Sales | 1.0 | 2 | Life Sciences | 1 | 1 | 2 | Female | 94 | 3 | 2 | Sales Executive | 4 | Single | 5993 | 19479 | 8 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 8 | 0 | 1 | 6 | 4 | 0 | 5 |
57.0 | No | Travel_Rarely | 593.0 | Research & Development | 1.0 | 4 | Medical | 1 | 482 | 4 | Male | 88 | 3 | 2 | Healthcare Representative | 3 | Married | 6755 | 2967 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 2 | 3 | 3 | 2 | 1 | 2 |
18.0 | Yes | Non-Travel | 247.0 | Research & Development | 8.0 | 1 | Medical | 1 | 1156 | 3 | Male | 80 | 3 | 1 | Laboratory Technician | 3 | Single | 1904 | 13556 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 |
32.0 | No | Non-Travel | 1146.0 | Research & Development | 15.0 | 4 | Medical | 1 | 1955 | 3 | Female | 34 | 3 | 2 | Healthcare Representative | 4 | Divorced | 6667 | 16542 | 5 | Y | No | 18 | 3 | 2 | 80 | 1 | 9 | 6 | 3 | 5 | 1 | 1 | 2 |
NaN | No | Travel_Rarely | 703.0 | Sales | 28.0 | 2 | Marketing | 1 | 641 | 1 | Male | 66 | 3 | 2 | Sales Executive | 2 | Married | 6272 | 7428 | 1 | Y | No | 20 | 4 | 4 | 80 | 2 | 6 | 5 | 4 | 5 | 3 | 1 | 4 |
33.0 | Yes | Travel_Rarely | 211.0 | Sales | 16.0 | 3 | Life Sciences | 1 | 1758 | 1 | Female | 74 | 3 | 3 | Sales Executive | 1 | Single | 8564 | 10092 | 2 | Y | Yes | 20 | 4 | 3 | 80 | 0 | 11 | 2 | 2 | 0 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 1142.0 | Research & Development | 23.0 | 4 | Medical | 1 | 75 | 3 | Female | 30 | 3 | 1 | Laboratory Technician | 1 | Married | 4014 | 16002 | 3 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 2 | 2 | 2 | 2 |
32.0 | No | Non-Travel | 300.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 882 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2314 | 9148 | 0 | Y | No | 12 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 3 | 0 | 0 | 2 |
NaN | Yes | Travel_Rarely | 303.0 | Sales | 27.0 | 3 | Life Sciences | 1 | 1797 | 3 | Male | 84 | 3 | 2 | Sales Executive | 4 | Single | 5813 | 13492 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 7 | 7 | 7 |
39.0 | Yes | Non-Travel | 592.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 1458 | 1 | Female | 54 | 2 | 1 | Laboratory Technician | 1 | Single | 3646 | 17181 | 2 | Y | Yes | 23 | 4 | 2 | 80 | 0 | 11 | 2 | 4 | 1 | 0 | 0 | 0 |
58.0 | Yes | Travel_Rarely | 601.0 | Research & Development | 7.0 | 4 | Medical | 1 | 1360 | 3 | Female | 53 | 2 | 3 | Manufacturing Director | 1 | Married | 10008 | 12023 | 7 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 31 | 0 | 2 | 10 | 9 | 5 | 9 |
36.0 | No | Travel_Frequently | 1480.0 | Research & Development | NaN | 2 | Medical | 1 | 238 | 4 | Male | 30 | 3 | 1 | Laboratory Technician | 2 | Single | 2088 | 15062 | 4 | Y | No | 12 | 3 | 3 | 80 | 0 | 13 | 3 | 2 | 8 | 7 | 7 | 2 |
31.0 | No | Travel_Rarely | 828.0 | Sales | 2.0 | 1 | Life Sciences | 1 | 604 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Single | 6582 | 8346 | 4 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 4 | 6 | 5 | 0 | 5 |
NaN | No | Travel_Rarely | 841.0 | Research & Development | 6.0 | 3 | Other | 1 | 164 | 3 | Female | 46 | 2 | 1 | Research Scientist | 2 | Married | 2368 | 23300 | 1 | Y | No | 19 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 4 | 4 | 3 |
39.0 | Yes | Travel_Rarely | 360.0 | Research & Development | 23.0 | 3 | Medical | 1 | 1310 | 3 | Male | 93 | 3 | 1 | Research Scientist | 1 | Single | 3904 | 22154 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 5 | 2 | 0 | 3 |
27.0 | No | Travel_Rarely | 608.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 725 | 3 | Female | 68 | 3 | 3 | Manufacturing Director | 1 | Married | 7412 | 6009 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 7 | 0 | 7 |
44.0 | Yes | Travel_Rarely | 1097.0 | Research & Development | 10.0 | 4 | Life Sciences | 1 | 1200 | 3 | Male | 96 | 3 | 1 | Research Scientist | 3 | Single | 2936 | 10826 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 4 | 3 | 6 | 4 | 0 | 2 |
45.0 | No | Travel_Rarely | 974.0 | Research & Development | 1.0 | 4 | Medical | 1 | 996 | 4 | Female | 91 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2270 | 11005 | 3 | Y | No | 14 | 3 | 4 | 80 | 2 | 8 | 2 | 3 | 5 | 3 | 0 | 2 |
40.0 | No | Travel_Frequently | 530.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 119 | 3 | Male | 78 | 2 | 4 | Healthcare Representative | 2 | Married | 13503 | 14115 | 1 | Y | No | 22 | 4 | 4 | 80 | 1 | 22 | 3 | 2 | 22 | 3 | 11 | 11 |
47.0 | No | Non-Travel | 1162.0 | Research & Development | 1.0 | 1 | Medical | 1 | 2000 | 3 | Female | 98 | 3 | 3 | Research Director | 2 | Married | 11957 | 17231 | 0 | Y | No | 18 | 3 | 1 | 80 | 2 | 14 | 3 | 1 | 13 | 8 | 5 | 12 |
34.0 | No | Travel_Rarely | 629.0 | Research & Development | 27.0 | 2 | Medical | 1 | 247 | 4 | Female | 95 | 3 | 1 | Research Scientist | 2 | Single | 2311 | 5711 | 2 | Y | No | 15 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 1 | 2 |
44.0 | No | Travel_Rarely | 200.0 | Research & Development | 29.0 | 4 | Other | 1 | 1225 | 4 | Male | 32 | 3 | 2 | Research Scientist | 4 | Single | 4541 | 7744 | 1 | Y | No | 25 | 4 | 2 | 80 | 0 | 20 | 3 | 3 | 20 | 11 | 13 | 17 |
36.0 | No | Travel_Frequently | 607.0 | Sales | 7.0 | 3 | Marketing | 1 | 1362 | 1 | Female | 83 | 4 | 2 | Sales Executive | 1 | Married | 4639 | 2261 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 17 | 2 | 2 | 15 | 7 | 6 | 13 |
27.0 | No | Non-Travel | 1277.0 | Research & Development | 8.0 | 5 | Life Sciences | 1 | 1094 | 1 | Male | 87 | 1 | 1 | Laboratory Technician | 3 | Married | 4621 | 5869 | 1 | Y | No | 19 | 3 | 4 | 80 | 3 | 3 | 4 | 3 | 3 | 2 | 1 | 2 |
24.0 | Yes | Travel_Rarely | 1448.0 | Sales | 1.0 | 1 | Technical Degree | 1 | 554 | 1 | Female | 62 | 3 | 1 | Sales Representative | 2 | Single | 3202 | 21972 | 1 | Y | Yes | 16 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 5 | 3 | 1 | 4 |
39.0 | No | Travel_Frequently | 505.0 | Research & Development | 2.0 | 4 | Technical Degree | 1 | 343 | 3 | Female | 64 | 3 | 3 | Healthcare Representative | 3 | Single | 10938 | 6420 | 0 | Y | No | 25 | 4 | 4 | 80 | 0 | 20 | 1 | 3 | 19 | 6 | 11 | 8 |
36.0 | Yes | Travel_Rarely | 318.0 | Research & Development | 9.0 | 3 | Medical | 1 | 90 | 4 | Male | 79 | 2 | 1 | Research Scientist | 3 | Married | 3388 | 21777 | 0 | Y | Yes | 17 | 3 | 1 | 80 | 1 | 2 | 0 | 2 | 1 | 0 | 0 | 0 |
34.0 | No | Non-Travel | 697.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 1115 | 3 | Male | 40 | 2 | 1 | Research Scientist | 4 | Married | 2979 | 22478 | 3 | Y | No | 17 | 3 | 4 | 80 | 3 | 6 | 2 | 3 | 0 | 0 | 0 | 0 |
50.0 | No | Travel_Frequently | 809.0 | Sales | 12.0 | 3 | Marketing | 1 | 174 | 3 | Female | 77 | 3 | 3 | Sales Executive | 4 | Single | 9208 | 6645 | 4 | Y | No | 11 | 3 | 4 | 80 | 0 | 16 | 3 | 3 | 2 | 2 | 2 | 1 |
41.0 | No | Travel_Rarely | 334.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 410 | 4 | Male | 88 | 3 | 4 | Manager | 2 | Single | 16015 | 15896 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 22 | 2 | 3 | 22 | 10 | 0 | 4 |
31.0 | Yes | Travel_Rarely | 330.0 | Research & Development | 22.0 | 4 | Medical | 1 | 1389 | 4 | Male | 98 | 3 | 2 | Manufacturing Director | 3 | Married | 6179 | 21057 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 2 | 6 | 7 |
39.0 | No | Travel_Frequently | 672.0 | Research & Development | 7.0 | 2 | Medical | 1 | 444 | 3 | Male | 54 | 2 | 5 | Manager | 4 | Married | 19272 | 21141 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 21 | 2 | 3 | 21 | 9 | 13 | 3 |
44.0 | No | Travel_Rarely | 1037.0 | Research & Development | 1.0 | 3 | Medical | 1 | 2020 | 2 | Male | 42 | 3 | 1 | Research Scientist | 4 | Single | 2436 | 13422 | 6 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 6 | 2 | 3 | 4 | 3 | 1 | 2 |
33.0 | No | Travel_Rarely | 575.0 | Research & Development | 25.0 | 3 | Life Sciences | 1 | 1545 | 4 | Male | 44 | 2 | 2 | Manufacturing Director | 2 | Single | 4320 | 24152 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 2 | 3 | 5 | 3 | 0 | 2 |
33.0 | No | Travel_Rarely | 1216.0 | Sales | 8.0 | 4 | Marketing | 1 | 677 | 3 | Male | 39 | 3 | 2 | Sales Executive | 3 | Divorced | 7104 | 20431 | 0 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 2 |
NaN | No | Travel_Rarely | 1382.0 | Sales | 8.0 | 2 | Other | 1 | 2018 | 1 | Female | 85 | 3 | 2 | Sales Executive | 3 | Divorced | 4907 | 13684 | 0 | Y | Yes | 22 | 4 | 2 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 0 | 4 |
37.0 | No | Travel_Rarely | 367.0 | Research & Development | 25.0 | 2 | Medical | 1 | 1161 | 3 | Female | 52 | 2 | 2 | Healthcare Representative | 4 | Divorced | 5731 | 17171 | 7 | Y | No | 13 | 3 | 3 | 80 | 2 | 9 | 2 | 3 | 6 | 2 | 1 | 3 |
37.0 | No | Travel_Rarely | 921.0 | Research & Development | 10.0 | 3 | Medical | 1 | 486 | 3 | Female | 98 | 3 | 1 | Laboratory Technician | 1 | Married | 3452 | 17663 | 6 | Y | No | 20 | 4 | 2 | 80 | 1 | 17 | 3 | 3 | 5 | 4 | 0 | 3 |
27.0 | Yes | Travel_Rarely | 1420.0 | Sales | 2.0 | 1 | Marketing | 1 | 667 | 3 | Male | 85 | 3 | 1 | Sales Representative | 1 | Divorced | 3041 | 16346 | 0 | Y | No | 11 | 3 | 2 | 80 | 1 | 5 | 3 | 3 | 4 | 3 | 0 | 2 |
NaN | No | Travel_Rarely | 977.0 | Research & Development | 2.0 | 1 | Other | 1 | 1992 | 4 | Male | 57 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3977 | 7298 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 2 | 2 | 0 | 2 |
30.0 | No | Travel_Rarely | 570.0 | Sales | NaN | 3 | Marketing | 1 | 456 | 4 | Female | 30 | 2 | 2 | Sales Executive | 3 | Divorced | 6118 | 5431 | 1 | Y | No | 13 | 3 | 3 | 80 | 3 | 10 | 2 | 3 | 10 | 9 | 1 | 2 |
29.0 | Yes | Travel_Rarely | 408.0 | Research & Development | 25.0 | 5 | Technical Degree | 1 | 565 | 3 | Female | 71 | 2 | 1 | Research Scientist | 2 | Married | 2546 | 18300 | 5 | Y | No | 16 | 3 | 2 | 80 | 0 | 6 | 2 | 4 | 2 | 2 | 1 | 1 |
27.0 | No | Non-Travel | 1450.0 | Research & Development | NaN | 3 | Medical | 1 | 224 | 3 | Male | 79 | 2 | 1 | Research Scientist | 3 | Divorced | 2566 | 25326 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 1 |
44.0 | No | Travel_Rarely | 477.0 | Research & Development | 7.0 | 4 | Medical | 1 | 36 | 1 | Female | 42 | 2 | 3 | Healthcare Representative | 4 | Married | 10248 | 2094 | 3 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 4 | 3 | 22 | 6 | 5 | 17 |
23.0 | No | Travel_Rarely | 885.0 | Research & Development | 4.0 | 3 | Medical | 1 | 705 | 1 | Male | 58 | 4 | 1 | Research Scientist | 1 | Married | 2819 | 8544 | 2 | Y | No | 16 | 3 | 1 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 0 | 2 |
43.0 | No | Non-Travel | 1344.0 | Research & Development | 7.0 | 3 | Medical | 1 | 262 | 4 | Male | 37 | 4 | 1 | Research Scientist | 4 | Divorced | 2089 | 5228 | 4 | Y | No | 14 | 3 | 4 | 80 | 3 | 7 | 3 | 4 | 5 | 4 | 2 | 2 |
29.0 | Yes | Travel_Rarely | 806.0 | Research & Development | 7.0 | 3 | Technical Degree | 1 | 1299 | 2 | Female | 39 | 3 | 1 | Laboratory Technician | 3 | Divorced | 3339 | 17285 | 3 | Y | Yes | 13 | 3 | 1 | 80 | 2 | 10 | 2 | 3 | 7 | 7 | 7 | 7 |
27.0 | No | Travel_Frequently | 1131.0 | Research & Development | 15.0 | 3 | Life Sciences | 1 | 1870 | 4 | Female | 77 | 2 | 1 | Research Scientist | 1 | Married | 4774 | 23844 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 8 | 2 | 2 | 7 | 6 | 7 | 3 |
46.0 | Yes | Travel_Rarely | 1254.0 | Sales | 10.0 | 3 | Life Sciences | 1 | 1869 | 3 | Female | 64 | 3 | 3 | Sales Executive | 2 | Married | 7314 | 14011 | 5 | Y | No | 21 | 4 | 3 | 80 | 3 | 14 | 2 | 3 | 8 | 7 | 0 | 7 |
32.0 | No | Travel_Rarely | 120.0 | Research & Development | 6.0 | 5 | Life Sciences | 1 | 231 | 3 | Male | 43 | 3 | 1 | Research Scientist | 3 | Single | 3038 | 12430 | 3 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 5 | 4 | 1 | 4 |
30.0 | No | Travel_Rarely | 1339.0 | Sales | NaN | 3 | Life Sciences | 1 | 228 | 2 | Female | 41 | 3 | 3 | Sales Executive | 4 | Married | 9419 | 8053 | 2 | Y | No | 12 | 3 | 3 | 80 | 1 | 12 | 2 | 3 | 10 | 9 | 7 | 4 |
37.0 | No | Non-Travel | 1252.0 | Sales | 19.0 | 2 | Medical | 1 | 904 | 1 | Male | 32 | 3 | 3 | Sales Executive | 2 | Single | 7642 | 4814 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 0 | 0 | 9 |
30.0 | No | Non-Travel | 111.0 | Research & Development | 9.0 | 3 | Medical | 1 | 239 | 3 | Male | 66 | 3 | 2 | Laboratory Technician | 1 | Divorced | 3072 | 11012 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 12 | 4 | 3 | 12 | 9 | 6 | 10 |
38.0 | No | Travel_Rarely | 243.0 | Sales | 7.0 | 4 | Marketing | 1 | 709 | 4 | Female | 46 | 2 | 2 | Sales Executive | 4 | Single | 4028 | 7791 | 0 | Y | No | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 7 | 7 | 0 | 5 |
33.0 | No | Travel_Rarely | 392.0 | Sales | 2.0 | 4 | Medical | 1 | 1670 | 4 | Male | 93 | 3 | 2 | Sales Executive | 4 | Divorced | 5505 | 3921 | 1 | Y | No | 14 | 3 | 3 | 80 | 2 | 6 | 5 | 3 | 6 | 2 | 0 | 4 |
NaN | No | Non-Travel | 208.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 1630 | 3 | Female | 52 | 3 | 2 | Healthcare Representative | 3 | Married | 4148 | 12250 | 1 | Y | No | 12 | 3 | 4 | 80 | 1 | 15 | 5 | 3 | 14 | 11 | 2 | 9 |
NaN | No | Travel_Rarely | 583.0 | Research & Development | 4.0 | 2 | Life Sciences | 1 | 1275 | 3 | Male | 53 | 3 | 1 | Research Scientist | 4 | Single | 2875 | 9973 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 0 | 8 | 2 | 2 | 8 | 5 | 2 | 2 |
43.0 | No | Travel_Frequently | 1001.0 | Research & Development | 9.0 | 5 | Medical | 1 | 663 | 4 | Male | 72 | 3 | 2 | Laboratory Technician | 3 | Divorced | 5679 | 19627 | 3 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 8 | 7 | 4 | 7 |
32.0 | No | Travel_Rarely | 548.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 96 | 2 | Male | 66 | 3 | 2 | Research Scientist | 2 | Married | 6220 | 7346 | 1 | Y | No | 17 | 3 | 2 | 80 | 2 | 10 | 3 | 3 | 10 | 4 | 0 | 9 |
31.0 | No | Travel_Rarely | 741.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 1721 | 2 | Male | 69 | 3 | 1 | Laboratory Technician | 3 | Married | 3477 | 18103 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 6 | 2 | 4 | 5 | 2 | 0 | 3 |
52.0 | No | Travel_Rarely | 1325.0 | Research & Development | 11.0 | 4 | Life Sciences | 1 | 813 | 4 | Female | 82 | 3 | 2 | Laboratory Technician | 3 | Married | 3149 | 21821 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 3 | 5 | 2 | 1 | 4 |
44.0 | No | Travel_Rarely | 1448.0 | Sales | 28.0 | 3 | Medical | 1 | 1039 | 4 | Female | 53 | 4 | 4 | Sales Executive | 4 | Married | 13320 | 11737 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 23 | 2 | 3 | 12 | 11 | 11 | 11 |
29.0 | No | Travel_Rarely | 1086.0 | Research & Development | 7.0 | 1 | Medical | 1 | 912 | 1 | Female | 62 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2532 | 6054 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 4 | 3 | 0 | 3 |
NaN | Yes | Travel_Rarely | 1485.0 | Research & Development | 12.0 | 1 | Life Sciences | 1 | 1175 | 3 | Female | 79 | 3 | 1 | Laboratory Technician | 4 | Married | 2515 | 22955 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 1 | 4 | 2 | 1 | 1 | 0 | 0 |
33.0 | Yes | Travel_Rarely | 813.0 | Research & Development | 14.0 | 3 | Medical | 1 | 325 | 3 | Male | 58 | 3 | 1 | Laboratory Technician | 4 | Married | 2436 | 22149 | 5 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 8 | 2 | 1 | 5 | 4 | 0 | 4 |
30.0 | Yes | Travel_Frequently | 109.0 | Research & Development | NaN | 3 | Medical | 1 | 1017 | 2 | Female | 60 | 3 | 1 | Laboratory Technician | 2 | Single | 2422 | 25725 | 0 | Y | No | 17 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
30.0 | Yes | Travel_Rarely | 1005.0 | Research & Development | NaN | 3 | Technical Degree | 1 | 297 | 4 | Female | 88 | 3 | 1 | Research Scientist | 1 | Single | 2657 | 8556 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 5 | 2 | 0 | 4 |
NaN | No | Travel_Rarely | 440.0 | Research & Development | 21.0 | 3 | Medical | 1 | 221 | 3 | Male | 42 | 3 | 1 | Research Scientist | 4 | Married | 2713 | 6672 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 2 | 1 | 5 | 2 | 0 | 2 |
31.0 | Yes | Travel_Rarely | 542.0 | Sales | 20.0 | 3 | Life Sciences | 1 | 175 | 2 | Female | 71 | 1 | 2 | Sales Executive | 3 | Married | 4559 | 24788 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
21.0 | No | Travel_Rarely | NaN | Sales | NaN | 1 | Medical | 1 | 2021 | 3 | Male | 58 | 3 | 1 | Sales Representative | 1 | Single | 2380 | 25479 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 2 | 6 | 3 | 2 | 2 | 1 | 2 |
37.0 | No | Travel_Frequently | 663.0 | Research & Development | 11.0 | 3 | Other | 1 | 306 | 2 | Male | 47 | 3 | 3 | Research Director | 4 | Divorced | 12185 | 10056 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 10 | 1 | 3 | 10 | 8 | 0 | 7 |
38.0 | No | Travel_Rarely | 1495.0 | Research & Development | 4.0 | 2 | Medical | 1 | 1687 | 4 | Female | 87 | 3 | 1 | Laboratory Technician | 3 | Married | 3306 | 26176 | 7 | Y | No | 19 | 3 | 4 | 80 | 1 | 7 | 5 | 2 | 0 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 266.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1303 | 4 | Female | 40 | 3 | 1 | Research Scientist | 2 | Single | 2096 | 18830 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 2 | 1 |
33.0 | No | Travel_Rarely | 931.0 | Research & Development | 14.0 | 3 | Medical | 1 | 252 | 4 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 2756 | 4673 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 8 | 5 | 3 | 8 | 7 | 1 | 6 |
27.0 | No | Travel_Rarely | 1240.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 54 | 4 | Female | 33 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2341 | 19715 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
32.0 | No | Travel_Rarely | 498.0 | Research & Development | NaN | 4 | Medical | 1 | 966 | 3 | Female | 93 | 3 | 2 | Manufacturing Director | 1 | Married | 6725 | 13554 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 8 | 2 | 4 | 8 | 7 | 6 | 3 |
NaN | No | Travel_Rarely | 1280.0 | Research & Development | 7.0 | 1 | Medical | 1 | 143 | 4 | Male | 64 | 2 | 1 | Research Scientist | 4 | Married | 2889 | 26897 | 1 | Y | No | 11 | 3 | 3 | 80 | 2 | 2 | 2 | 3 | 2 | 2 | 2 | 1 |
36.0 | No | Travel_Rarely | 852.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 51 | 2 | Female | 82 | 2 | 1 | Research Scientist | 1 | Married | 3419 | 13072 | 9 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 6 | 3 | 4 | 1 | 1 | 0 | 0 |
55.0 | Yes | Travel_Rarely | 725.0 | Research & Development | 2.0 | 3 | Medical | 1 | 787 | 4 | Male | 78 | 3 | 5 | Manager | 1 | Married | 19859 | 21199 | 5 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 24 | 2 | 3 | 5 | 2 | 1 | 4 |
42.0 | No | Non-Travel | 355.0 | Research & Development | 10.0 | 4 | Technical Degree | 1 | 1854 | 3 | Male | 38 | 3 | 1 | Research Scientist | 3 | Married | 2936 | 6161 | 3 | Y | No | 22 | 4 | 2 | 80 | 2 | 10 | 1 | 2 | 6 | 3 | 3 | 3 |
22.0 | Yes | Travel_Rarely | 391.0 | Research & Development | 7.0 | 1 | Life Sciences | 1 | 1878 | 4 | Male | 75 | 3 | 1 | Research Scientist | 2 | Single | 2472 | 26092 | 1 | Y | Yes | 23 | 4 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
30.0 | No | Travel_Rarely | 911.0 | Research & Development | 1.0 | 2 | Medical | 1 | 1989 | 4 | Male | 76 | 3 | 1 | Laboratory Technician | 2 | Married | 3748 | 4077 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 12 | 6 | 2 | 12 | 8 | 1 | 7 |
NaN | No | Travel_Rarely | 538.0 | Research & Development | 25.0 | 2 | Other | 1 | 652 | 1 | Male | 54 | 2 | 2 | Laboratory Technician | 4 | Single | 3681 | 14004 | 4 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 3 | 2 | 0 | 2 |
52.0 | No | Travel_Rarely | 956.0 | Research & Development | 6.0 | 2 | Technical Degree | 1 | 630 | 4 | Male | 78 | 3 | 2 | Research Scientist | 1 | Divorced | 5577 | 22087 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 2 | 18 | 3 | 3 | 10 | 9 | 6 | 9 |
54.0 | No | Travel_Frequently | 966.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 1245 | 4 | Female | 53 | 3 | 3 | Manufacturing Director | 3 | Divorced | 10502 | 9659 | 7 | Y | No | 17 | 3 | 1 | 80 | 1 | 33 | 2 | 1 | 5 | 4 | 1 | 4 |
52.0 | Yes | Travel_Rarely | 1030.0 | Sales | NaN | 3 | Life Sciences | 1 | 1319 | 2 | Male | 64 | 3 | 3 | Sales Executive | 2 | Single | 8446 | 21534 | 9 | Y | Yes | 19 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 8 | 7 | 7 | 7 |
34.0 | Yes | Travel_Rarely | 699.0 | Research & Development | 6.0 | 1 | Medical | 1 | 31 | 2 | Male | 83 | 3 | 1 | Research Scientist | 1 | Single | 2960 | 17102 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 4 | 2 | 1 | 3 |
55.0 | No | Travel_Rarely | 189.0 | Human Resources | 26.0 | 4 | Human Resources | 1 | 1973 | 3 | Male | 71 | 4 | 5 | Manager | 2 | Married | 19636 | 25811 | 4 | Y | Yes | 18 | 3 | 1 | 80 | 1 | 35 | 0 | 3 | 10 | 9 | 1 | 4 |
42.0 | No | Travel_Rarely | 1147.0 | Human Resources | 10.0 | 3 | Human Resources | 1 | 1408 | 3 | Female | 31 | 3 | 4 | Manager | 1 | Married | 16799 | 16616 | 0 | Y | No | 14 | 3 | 3 | 80 | 1 | 21 | 5 | 3 | 20 | 7 | 0 | 9 |
NaN | No | Travel_Frequently | 664.0 | Research & Development | 1.0 | 3 | Medical | 1 | 88 | 2 | Male | 79 | 3 | 1 | Research Scientist | 1 | Married | 2194 | 5868 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 2 | 3 | 2 | 1 | 2 |
40.0 | No | Travel_Rarely | 107.0 | Sales | 10.0 | 3 | Technical Degree | 1 | 1239 | 2 | Female | 84 | 2 | 2 | Sales Executive | 2 | Divorced | 6852 | 11591 | 7 | Y | No | 12 | 3 | 2 | 80 | 1 | 7 | 2 | 4 | 5 | 1 | 1 | 3 |
31.0 | No | Travel_Frequently | 163.0 | Research & Development | 24.0 | 1 | Technical Degree | 1 | 1736 | 4 | Female | 30 | 3 | 2 | Manufacturing Director | 4 | Single | 5238 | 6670 | 2 | Y | No | 20 | 4 | 4 | 80 | 0 | 9 | 3 | 2 | 5 | 4 | 1 | 4 |
41.0 | Yes | Travel_Frequently | 143.0 | Sales | 4.0 | 3 | Marketing | 1 | 488 | 1 | Male | 56 | 3 | 2 | Sales Executive | 2 | Single | 9355 | 9558 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 8 | 5 | 3 | 8 | 7 | 7 | 7 |
NaN | No | Travel_Rarely | 991.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 686 | 3 | Female | 71 | 3 | 1 | Laboratory Technician | 4 | Married | 2659 | 17759 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
32.0 | No | Non-Travel | 862.0 | Sales | 2.0 | 1 | Life Sciences | 1 | 1190 | 3 | Female | 76 | 3 | 1 | Sales Representative | 1 | Divorced | 2827 | 14947 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
38.0 | No | Non-Travel | 1336.0 | Human Resources | 2.0 | 3 | Human Resources | 1 | 1805 | 1 | Male | 100 | 3 | 1 | Human Resources | 2 | Divorced | 2592 | 7129 | 5 | Y | No | 13 | 3 | 4 | 80 | 3 | 13 | 3 | 3 | 11 | 10 | 3 | 8 |
22.0 | No | Travel_Rarely | 253.0 | Research & Development | 11.0 | 3 | Medical | 1 | 511 | 1 | Female | 43 | 3 | 1 | Research Scientist | 2 | Married | 2244 | 24440 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 2 | 1 | 3 | 2 | 1 | 1 | 2 |
22.0 | No | Travel_Rarely | 217.0 | Research & Development | 8.0 | 1 | Life Sciences | 1 | 1019 | 2 | Male | 94 | 1 | 1 | Laboratory Technician | 1 | Married | 2451 | 6881 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 4 | 3 | 2 | 4 | 3 | 1 | 1 |
27.0 | No | Travel_Rarely | 1134.0 | Research & Development | 16.0 | 4 | Technical Degree | 1 | 1001 | 3 | Female | 37 | 3 | 1 | Laboratory Technician | 2 | Married | 2811 | 12086 | 9 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
38.0 | No | Travel_Rarely | 723.0 | Sales | 2.0 | 4 | Marketing | 1 | 1835 | 2 | Female | 77 | 1 | 2 | Sales Representative | 4 | Married | 5405 | 4244 | 2 | Y | Yes | 20 | 4 | 1 | 80 | 2 | 20 | 4 | 2 | 4 | 2 | 0 | 3 |
29.0 | No | Travel_Rarely | 232.0 | Research & Development | 19.0 | 3 | Technical Degree | 1 | 611 | 4 | Male | 34 | 3 | 2 | Manufacturing Director | 4 | Divorced | 4262 | 22645 | 4 | Y | No | 12 | 3 | 2 | 80 | 2 | 8 | 2 | 4 | 3 | 2 | 1 | 2 |
NaN | Yes | Travel_Rarely | 529.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 364 | 1 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 3485 | 14935 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 5 | 5 | 1 | 0 | 0 | 0 | 0 |
31.0 | No | Travel_Rarely | 746.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 98 | 3 | Female | 61 | 3 | 2 | Manufacturing Director | 4 | Single | 4424 | 20682 | 1 | Y | No | 23 | 4 | 4 | 80 | 0 | 11 | 2 | 3 | 11 | 7 | 1 | 8 |
55.0 | No | Non-Travel | 177.0 | Research & Development | 8.0 | 1 | Medical | 1 | 1278 | 4 | Male | 37 | 2 | 4 | Healthcare Representative | 2 | Divorced | 13577 | 25592 | 1 | Y | Yes | 15 | 3 | 4 | 80 | 1 | 34 | 3 | 3 | 33 | 9 | 15 | 0 |
59.0 | No | Travel_Rarely | 818.0 | Human Resources | 6.0 | 2 | Medical | 1 | 321 | 2 | Male | 52 | 3 | 1 | Human Resources | 3 | Married | 2267 | 25657 | 8 | Y | No | 17 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 2 | 2 | 2 | 2 |
48.0 | No | Travel_Rarely | 163.0 | Sales | 2.0 | 5 | Marketing | 1 | 595 | 2 | Female | 37 | 3 | 2 | Sales Executive | 4 | Married | 4051 | 19658 | 2 | Y | No | 14 | 3 | 1 | 80 | 1 | 14 | 2 | 3 | 9 | 7 | 6 | 7 |
43.0 | No | Travel_Frequently | 313.0 | Research & Development | 21.0 | 3 | Medical | 1 | 525 | 4 | Male | 61 | 3 | 1 | Laboratory Technician | 4 | Married | 2258 | 15238 | 7 | Y | No | 20 | 4 | 1 | 80 | 1 | 8 | 1 | 3 | 3 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 950.0 | Research & Development | 7.0 | 3 | Other | 1 | 845 | 3 | Male | 59 | 3 | 3 | Manufacturing Director | 3 | Single | 10221 | 18869 | 3 | Y | No | 21 | 4 | 2 | 80 | 0 | 17 | 3 | 4 | 8 | 5 | 1 | 6 |
33.0 | No | Travel_Rarely | 134.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 242 | 3 | Male | 90 | 3 | 1 | Research Scientist | 4 | Single | 2500 | 10515 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 2 | 4 | 3 | 1 | 0 | 2 |
53.0 | No | Travel_Rarely | 1219.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 23 | 1 | Female | 78 | 2 | 4 | Manager | 4 | Married | 15427 | 22021 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 31 | 3 | 3 | 25 | 8 | 3 | 7 |
46.0 | No | Non-Travel | 849.0 | Sales | 26.0 | 2 | Life Sciences | 1 | 1801 | 2 | Male | 98 | 2 | 2 | Sales Executive | 2 | Single | 7991 | 25166 | 8 | Y | No | 15 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
31.0 | No | Travel_Rarely | 1398.0 | Human Resources | 8.0 | 2 | Medical | 1 | 1461 | 4 | Female | 96 | 4 | 1 | Human Resources | 2 | Single | 2109 | 24609 | 9 | Y | No | 18 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 3 | 2 | 0 | 2 |
38.0 | No | Travel_Rarely | 343.0 | Research & Development | 15.0 | 2 | Life Sciences | 1 | 461 | 3 | Male | 92 | 2 | 3 | Research Director | 4 | Divorced | 11510 | 15682 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 10 | 2 | 9 |
55.0 | No | Travel_Rarely | 1136.0 | Research & Development | 1.0 | 4 | Medical | 1 | 1424 | 2 | Male | 81 | 4 | 4 | Research Director | 4 | Divorced | 14732 | 12414 | 2 | Y | No | 13 | 3 | 4 | 80 | 2 | 31 | 4 | 4 | 7 | 7 | 0 | 0 |
60.0 | No | Travel_Rarely | 696.0 | Sales | 7.0 | 4 | Marketing | 1 | 1233 | 2 | Male | 52 | 4 | 2 | Sales Executive | 4 | Divorced | 5220 | 10893 | 0 | Y | Yes | 18 | 3 | 2 | 80 | 1 | 12 | 3 | 3 | 11 | 7 | 1 | 9 |
58.0 | Yes | Travel_Rarely | 286.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 825 | 4 | Male | 31 | 3 | 5 | Research Director | 2 | Single | 19246 | 25761 | 7 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 40 | 2 | 3 | 31 | 15 | 13 | 8 |
38.0 | No | Travel_Frequently | NaN | Research & Development | 29.0 | 5 | Life Sciences | 1 | 79 | 4 | Female | 50 | 3 | 2 | Laboratory Technician | 4 | Single | 2406 | 5456 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 10 | 2 | 3 | 10 | 3 | 9 | 9 |
46.0 | No | Travel_Rarely | 1277.0 | Sales | 2.0 | 3 | Life Sciences | 1 | 1732 | 3 | Male | 74 | 3 | 3 | Sales Executive | 4 | Divorced | 10368 | 5596 | 4 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 13 | 5 | 2 | 10 | 6 | 0 | 3 |
NaN | No | Travel_Rarely | 1158.0 | Research & Development | 9.0 | 3 | Medical | 1 | 377 | 4 | Male | 94 | 3 | 1 | Research Scientist | 4 | Married | 2070 | 2613 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 5 | 3 | 2 | 5 | 2 | 0 | 4 |
56.0 | Yes | Travel_Rarely | 310.0 | Research & Development | 7.0 | 2 | Technical Degree | 1 | 2032 | 4 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2339 | 3666 | 8 | Y | No | 11 | 3 | 4 | 80 | 1 | 14 | 4 | 1 | 10 | 9 | 9 | 8 |
33.0 | No | Travel_Frequently | 1146.0 | Sales | 25.0 | 3 | Medical | 1 | 1220 | 2 | Female | 82 | 3 | 2 | Sales Executive | 3 | Married | 4539 | 4905 | 1 | Y | No | 12 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 10 | 7 | 0 | 1 |
40.0 | No | Non-Travel | 1142.0 | Research & Development | 8.0 | 2 | Life Sciences | 1 | 1552 | 4 | Male | 72 | 3 | 2 | Healthcare Representative | 4 | Divorced | 4069 | 8841 | 3 | Y | Yes | 18 | 3 | 3 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
27.0 | Yes | Travel_Frequently | 1337.0 | Human Resources | 22.0 | 3 | Human Resources | 1 | 1944 | 1 | Female | 58 | 2 | 1 | Human Resources | 2 | Married | 2863 | 19555 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Frequently | 1479.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 384 | 3 | Female | 84 | 3 | 2 | Manufacturing Director | 2 | Divorced | 6397 | 26767 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 6 | 6 | 1 | 6 | 5 | 1 | 4 |
NaN | No | Non-Travel | 1180.0 | Research & Development | 2.0 | 2 | Medical | 1 | 1804 | 2 | Male | 90 | 3 | 2 | Manufacturing Director | 4 | Divorced | 5762 | 24442 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 15 | 6 | 3 | 7 | 7 | 1 | 7 |
33.0 | No | Travel_Rarely | 1069.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 969 | 2 | Female | 42 | 2 | 2 | Healthcare Representative | 4 | Single | 6949 | 12291 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 6 | 3 | 3 | 5 | 0 | 1 | 4 |
40.0 | Yes | Travel_Rarely | 575.0 | Sales | 22.0 | 2 | Marketing | 1 | 492 | 3 | Male | 68 | 2 | 2 | Sales Executive | 3 | Married | 6380 | 6110 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 2 | 8 | 6 | 3 | 6 | 4 | 1 | 0 |
34.0 | Yes | Non-Travel | 967.0 | Research & Development | 16.0 | 4 | Technical Degree | 1 | 1905 | 4 | Male | 85 | 1 | 1 | Research Scientist | 1 | Married | 2307 | 14460 | 1 | Y | Yes | 23 | 4 | 2 | 80 | 1 | 5 | 2 | 3 | 5 | 2 | 3 | 0 |
50.0 | Yes | Travel_Rarely | 869.0 | Sales | NaN | 2 | Marketing | 1 | 47 | 1 | Male | 86 | 2 | 1 | Sales Representative | 3 | Married | 2683 | 3810 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 0 | 2 |
48.0 | No | Travel_Rarely | 277.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 1022 | 1 | Male | 97 | 2 | 2 | Healthcare Representative | 3 | Single | 4240 | 13119 | 2 | Y | No | 13 | 3 | 4 | 80 | 0 | 19 | 0 | 3 | 2 | 2 | 2 | 2 |
54.0 | No | Travel_Rarely | 431.0 | Research & Development | 7.0 | 4 | Medical | 1 | 1830 | 4 | Female | 68 | 3 | 2 | Research Scientist | 4 | Married | 6854 | 15696 | 4 | Y | No | 15 | 3 | 2 | 80 | 1 | 14 | 2 | 2 | 7 | 1 | 1 | 7 |
20.0 | Yes | Travel_Rarely | 500.0 | Sales | 2.0 | 3 | Medical | 1 | 922 | 3 | Female | 49 | 2 | 1 | Sales Representative | 3 | Single | 2044 | 22052 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 2 | 3 | 2 | 2 | 2 | 0 | 2 |
43.0 | No | Non-Travel | 343.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 1813 | 1 | Male | 52 | 3 | 1 | Research Scientist | 3 | Single | 2438 | 24978 | 4 | Y | No | 13 | 3 | 3 | 80 | 0 | 7 | 2 | 2 | 3 | 2 | 1 | 2 |
29.0 | No | Travel_Rarely | 726.0 | Research & Development | 29.0 | 1 | Life Sciences | 1 | 1859 | 4 | Male | 93 | 1 | 2 | Healthcare Representative | 3 | Divorced | 6384 | 21143 | 8 | Y | No | 17 | 3 | 4 | 80 | 2 | 11 | 3 | 3 | 7 | 0 | 1 | 6 |
34.0 | No | Non-Travel | 999.0 | Research & Development | 26.0 | 1 | Technical Degree | 1 | 1374 | 1 | Female | 92 | 2 | 1 | Research Scientist | 3 | Divorced | 2029 | 15891 | 1 | Y | No | 20 | 4 | 3 | 80 | 3 | 5 | 2 | 3 | 5 | 4 | 0 | 0 |
42.0 | Yes | Travel_Frequently | 933.0 | Research & Development | 19.0 | 3 | Medical | 1 | 752 | 3 | Male | 57 | 4 | 1 | Research Scientist | 3 | Divorced | 2759 | 20366 | 6 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 7 | 2 | 3 | 2 | 2 | 2 | 2 |
27.0 | No | Travel_Rarely | 486.0 | Research & Development | 8.0 | 3 | Medical | 1 | 1647 | 2 | Female | 86 | 4 | 1 | Research Scientist | 3 | Married | 3517 | 22490 | 7 | Y | No | 17 | 3 | 1 | 80 | 0 | 5 | 0 | 3 | 3 | 2 | 0 | 2 |
19.0 | Yes | Travel_Rarely | 419.0 | Sales | 21.0 | 3 | Other | 1 | 959 | 4 | Male | 37 | 2 | 1 | Sales Representative | 2 | Single | 2121 | 9947 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
39.0 | No | Travel_Rarely | 466.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 1026 | 4 | Female | 65 | 2 | 4 | Manufacturing Director | 4 | Married | 12742 | 7060 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 6 | 11 | 8 |
27.0 | No | Travel_Rarely | NaN | Research & Development | 9.0 | 3 | Medical | 1 | 260 | 4 | Female | 99 | 3 | 1 | Research Scientist | 2 | Single | 2279 | 11781 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 7 | 2 | 2 | 7 | 7 | 0 | 3 |
59.0 | No | Travel_Rarely | 1429.0 | Research & Development | 18.0 | 4 | Medical | 1 | 1283 | 4 | Male | 67 | 3 | 3 | Manufacturing Director | 4 | Single | 10512 | 20002 | 6 | Y | No | 12 | 3 | 4 | 80 | 0 | 25 | 6 | 2 | 9 | 7 | 5 | 4 |
31.0 | No | Travel_Rarely | 688.0 | Sales | 7.0 | 3 | Life Sciences | 1 | 613 | 3 | Male | 44 | 2 | 3 | Manager | 4 | Divorced | 11557 | 25291 | 9 | Y | No | 21 | 4 | 3 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 1 |
NaN | No | Travel_Rarely | 1179.0 | Research & Development | 19.0 | 4 | Medical | 1 | 1216 | 4 | Male | 78 | 2 | 1 | Laboratory Technician | 1 | Married | 3196 | 12449 | 1 | Y | No | 12 | 3 | 3 | 80 | 3 | 6 | 2 | 3 | 6 | 5 | 3 | 3 |
34.0 | No | Non-Travel | 1381.0 | Sales | 4.0 | 4 | Marketing | 1 | 523 | 3 | Female | 72 | 3 | 2 | Sales Executive | 3 | Married | 6538 | 12740 | 9 | Y | No | 15 | 3 | 1 | 80 | 1 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
31.0 | No | Travel_Rarely | 154.0 | Sales | 7.0 | 4 | Life Sciences | 1 | 941 | 2 | Male | 41 | 2 | 1 | Sales Representative | 3 | Married | 2329 | 11737 | 3 | Y | No | 15 | 3 | 2 | 80 | 0 | 13 | 2 | 4 | 7 | 7 | 5 | 2 |
53.0 | No | Travel_Frequently | 124.0 | Sales | 2.0 | 3 | Marketing | 1 | 1050 | 3 | Female | 38 | 2 | 3 | Sales Executive | 2 | Married | 7525 | 23537 | 2 | Y | No | 12 | 3 | 1 | 80 | 1 | 30 | 2 | 3 | 15 | 7 | 6 | 12 |
41.0 | No | Travel_Rarely | 582.0 | Research & Development | 28.0 | 4 | Life Sciences | 1 | 2034 | 1 | Female | 60 | 2 | 4 | Manufacturing Director | 2 | Married | 13570 | 5640 | 0 | Y | No | 23 | 4 | 3 | 80 | 1 | 21 | 3 | 3 | 20 | 7 | 0 | 10 |
54.0 | No | Travel_Rarely | 1441.0 | Research & Development | 17.0 | 3 | Technical Degree | 1 | 1013 | 3 | Female | 56 | 3 | 3 | Manufacturing Director | 3 | Married | 10739 | 13943 | 8 | Y | No | 11 | 3 | 3 | 80 | 1 | 22 | 2 | 3 | 10 | 7 | 0 | 8 |
30.0 | No | Non-Travel | 1400.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 562 | 3 | Male | 53 | 3 | 1 | Laboratory Technician | 4 | Married | 2097 | 16734 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 3 | 1 | 5 | 3 | 1 | 4 |
49.0 | No | Travel_Rarely | 1261.0 | Research & Development | 7.0 | 3 | Other | 1 | 499 | 2 | Male | 31 | 2 | 3 | Healthcare Representative | 3 | Single | 10965 | 12066 | 8 | Y | No | 24 | 4 | 3 | 80 | 0 | 26 | 2 | 3 | 5 | 2 | 0 | 0 |
46.0 | No | Travel_Rarely | 1485.0 | Research & Development | 18.0 | 3 | Medical | 1 | 550 | 3 | Female | 87 | 3 | 2 | Manufacturing Director | 3 | Divorced | 4810 | 26314 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 19 | 5 | 2 | 10 | 7 | 0 | 8 |
36.0 | No | Travel_Rarely | 132.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 97 | 2 | Female | 55 | 4 | 1 | Laboratory Technician | 4 | Married | 3038 | 22002 | 3 | Y | No | 12 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 1 | 0 | 0 | 0 |
32.0 | Yes | Travel_Frequently | 238.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 1939 | 1 | Female | 47 | 4 | 1 | Research Scientist | 3 | Single | 2432 | 15318 | 3 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 4 | 1 | 0 | 3 |
27.0 | No | Travel_Rarely | NaN | Research & Development | 19.0 | 3 | Other | 1 | 1619 | 4 | Male | 67 | 2 | 1 | Laboratory Technician | 1 | Divorced | 4066 | 16290 | 1 | Y | No | 11 | 3 | 1 | 80 | 2 | 7 | 3 | 3 | 7 | 7 | 0 | 7 |
32.0 | No | Travel_Rarely | 646.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 679 | 1 | Female | 92 | 3 | 2 | Research Scientist | 4 | Married | 6322 | 18089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 1 | 6 | 2 | 2 | 6 | 4 | 0 | 5 |
29.0 | No | Travel_Rarely | 718.0 | Research & Development | 8.0 | 1 | Medical | 1 | 1150 | 2 | Male | 79 | 2 | 2 | Manufacturing Director | 4 | Married | 5056 | 17689 | 1 | Y | Yes | 15 | 3 | 3 | 80 | 1 | 10 | 2 | 2 | 10 | 7 | 1 | 2 |
37.0 | No | Travel_Rarely | 290.0 | Research & Development | 21.0 | 3 | Life Sciences | 1 | 267 | 2 | Male | 65 | 4 | 1 | Research Scientist | 1 | Married | 3564 | 22977 | 1 | Y | Yes | 12 | 3 | 1 | 80 | 1 | 8 | 3 | 2 | 8 | 7 | 1 | 7 |
NaN | No | Travel_Rarely | 1349.0 | Research & Development | 7.0 | 2 | Life Sciences | 1 | 1601 | 3 | Male | 63 | 2 | 1 | Laboratory Technician | 4 | Married | 2690 | 7713 | 1 | Y | No | 18 | 3 | 4 | 80 | 1 | 1 | 5 | 2 | 1 | 0 | 0 | 1 |
51.0 | No | Travel_Rarely | 1318.0 | Sales | 26.0 | 4 | Marketing | 1 | 851 | 1 | Female | 66 | 3 | 4 | Manager | 3 | Married | 16307 | 5594 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 29 | 2 | 2 | 20 | 6 | 4 | 17 |
34.0 | No | Travel_Rarely | 1031.0 | Research & Development | 6.0 | 4 | Life Sciences | 1 | 151 | 3 | Female | 45 | 2 | 2 | Research Scientist | 2 | Divorced | 4505 | 15000 | 6 | Y | No | 15 | 3 | 3 | 80 | 1 | 12 | 3 | 3 | 1 | 0 | 0 | 0 |
40.0 | No | Travel_Rarely | 1398.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 558 | 3 | Female | 79 | 3 | 5 | Manager | 3 | Married | 18041 | 13022 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 21 | 2 | 3 | 20 | 15 | 1 | 12 |
38.0 | No | Travel_Frequently | 1444.0 | Human Resources | 1.0 | 4 | Other | 1 | 1972 | 4 | Male | 88 | 3 | 1 | Human Resources | 2 | Married | 2991 | 5224 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 6 | 2 | 1 | 2 |
48.0 | No | Travel_Rarely | 855.0 | Research & Development | 4.0 | 3 | Life Sciences | 1 | 1363 | 4 | Male | 54 | 3 | 3 | Manufacturing Director | 4 | Single | 7898 | 18706 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 11 | 2 | 3 | 10 | 9 | 0 | 8 |
42.0 | No | Travel_Rarely | 933.0 | Research & Development | 29.0 | 3 | Life Sciences | 1 | 836 | 2 | Male | 98 | 3 | 2 | Manufacturing Director | 2 | Married | 4434 | 11806 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 8 | 7 | 8 |
31.0 | No | Non-Travel | 697.0 | Research & Development | 10.0 | 3 | Medical | 1 | 1979 | 3 | Female | 40 | 3 | 3 | Research Director | 3 | Married | 11031 | 26862 | 4 | Y | No | 20 | 4 | 3 | 80 | 1 | 13 | 2 | 4 | 11 | 7 | 4 | 8 |
46.0 | Yes | Travel_Rarely | 669.0 | Sales | 9.0 | 2 | Medical | 1 | 118 | 3 | Male | 64 | 2 | 3 | Sales Executive | 4 | Single | 9619 | 13596 | 1 | Y | No | 16 | 3 | 4 | 80 | 0 | 9 | 3 | 3 | 9 | 8 | 4 | 7 |
NaN | No | Travel_Frequently | 636.0 | Research & Development | 4.0 | 4 | Other | 1 | 1185 | 4 | Male | 47 | 2 | 1 | Laboratory Technician | 4 | Married | 2376 | 26537 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 2 | 2 | 4 | 2 | 2 | 2 | 2 |
29.0 | Yes | Travel_Frequently | 746.0 | Sales | 24.0 | 3 | Technical Degree | 1 | 1928 | 3 | Male | 45 | 4 | 1 | Sales Representative | 1 | Single | 1091 | 10642 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
42.0 | No | Non-Travel | 335.0 | Research & Development | 23.0 | 2 | Life Sciences | 1 | 1976 | 4 | Male | 37 | 2 | 2 | Research Scientist | 3 | Single | 4332 | 14811 | 1 | Y | No | 12 | 3 | 4 | 80 | 0 | 20 | 2 | 3 | 20 | 9 | 3 | 7 |
39.0 | No | Travel_Frequently | 945.0 | Research & Development | 22.0 | 3 | Medical | 1 | 1043 | 4 | Female | 82 | 3 | 3 | Manufacturing Director | 1 | Single | 10880 | 5083 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 2 | 8 |
22.0 | No | Travel_Rarely | 604.0 | Research & Development | 6.0 | 1 | Medical | 1 | 675 | 1 | Male | 69 | 3 | 1 | Research Scientist | 3 | Married | 2773 | 12145 | 0 | Y | No | 20 | 4 | 4 | 80 | 0 | 3 | 3 | 3 | 2 | 2 | 2 | 2 |
29.0 | No | Travel_Rarely | 153.0 | Research & Development | 15.0 | 2 | Life Sciences | 1 | 15 | 4 | Female | 49 | 2 | 2 | Laboratory Technician | 3 | Single | 4193 | 12682 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 9 | 5 | 0 | 8 |
43.0 | No | Travel_Rarely | 1473.0 | Research & Development | 8.0 | 4 | Other | 1 | 526 | 3 | Female | 74 | 3 | 2 | Healthcare Representative | 3 | Divorced | 4522 | 2227 | 4 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 3 | 3 | 5 | 2 | 0 | 2 |
NaN | No | Travel_Frequently | 496.0 | Research & Development | 11.0 | 2 | Medical | 1 | 390 | 1 | Male | 60 | 3 | 2 | Healthcare Representative | 1 | Married | 4741 | 22722 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 5 | 3 | 3 | 5 | 3 | 3 | 3 |
31.0 | No | Travel_Rarely | 616.0 | Research & Development | 12.0 | 3 | Medical | 1 | 961 | 4 | Female | 41 | 3 | 2 | Healthcare Representative | 4 | Married | 5855 | 17369 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 2 | 10 | 2 | 1 | 9 | 7 | 8 | 5 |
32.0 | Yes | Travel_Rarely | 1259.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 1692 | 4 | Male | 95 | 3 | 1 | Laboratory Technician | 2 | Single | 1393 | 24852 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
38.0 | No | Travel_Rarely | 1206.0 | Research & Development | 9.0 | 2 | Life Sciences | 1 | 1940 | 2 | Male | 71 | 3 | 1 | Research Scientist | 4 | Divorced | 4771 | 14293 | 2 | Y | No | 19 | 3 | 4 | 80 | 2 | 10 | 0 | 4 | 5 | 2 | 0 | 3 |
20.0 | Yes | Travel_Rarely | 129.0 | Research & Development | 4.0 | 3 | Technical Degree | 1 | 960 | 1 | Male | 84 | 3 | 1 | Laboratory Technician | 1 | Single | 2973 | 13008 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
56.0 | No | Travel_Rarely | 718.0 | Research & Development | 4.0 | 4 | Technical Degree | 1 | 1191 | 4 | Female | 92 | 3 | 5 | Manager | 1 | Divorced | 19943 | 18575 | 4 | Y | No | 13 | 3 | 4 | 80 | 1 | 28 | 2 | 3 | 5 | 2 | 4 | 2 |
34.0 | No | Travel_Frequently | 303.0 | Sales | 2.0 | 4 | Marketing | 1 | 216 | 3 | Female | 75 | 3 | 1 | Sales Representative | 3 | Married | 2231 | 11314 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 4 | 3 | 1 | 2 |
31.0 | No | Travel_Rarely | 1332.0 | Research & Development | 11.0 | 2 | Medical | 1 | 1251 | 3 | Male | 80 | 3 | 2 | Healthcare Representative | 1 | Married | 6833 | 17089 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 6 | 5 | 0 | 1 |
48.0 | No | Travel_Frequently | 365.0 | Research & Development | 4.0 | 5 | Medical | 1 | 1644 | 3 | Male | 89 | 2 | 4 | Manager | 4 | Married | 15202 | 5602 | 2 | Y | No | 25 | 4 | 2 | 80 | 1 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
40.0 | No | Travel_Rarely | 1416.0 | Research & Development | 2.0 | 2 | Medical | 1 | 352 | 1 | Male | 49 | 3 | 5 | Research Director | 3 | Divorced | 19436 | 5949 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 22 | 5 | 3 | 21 | 7 | 3 | 9 |
40.0 | No | Travel_Rarely | 1124.0 | Sales | 1.0 | 2 | Medical | 1 | 453 | 2 | Male | 57 | 1 | 2 | Sales Executive | 4 | Married | 7457 | 13273 | 2 | Y | Yes | 22 | 4 | 3 | 80 | 3 | 6 | 2 | 2 | 4 | 3 | 0 | 2 |
NaN | No | Travel_Rarely | 682.0 | Sales | 18.0 | 4 | Medical | 1 | 1945 | 2 | Male | 71 | 3 | 2 | Sales Executive | 1 | Married | 5561 | 15975 | 0 | Y | No | 16 | 3 | 4 | 80 | 1 | 6 | 2 | 1 | 5 | 3 | 0 | 4 |
34.0 | Yes | Travel_Rarely | 1107.0 | Human Resources | 9.0 | 4 | Technical Degree | 1 | 1467 | 1 | Female | 52 | 3 | 1 | Human Resources | 3 | Married | 2742 | 3072 | 1 | Y | No | 15 | 3 | 4 | 80 | 0 | 2 | 0 | 3 | 2 | 2 | 2 | 2 |
NaN | No | Non-Travel | 727.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 704 | 3 | Male | 41 | 2 | 1 | Laboratory Technician | 3 | Married | 1281 | 16900 | 1 | Y | No | 18 | 3 | 3 | 80 | 2 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
34.0 | No | Travel_Frequently | 560.0 | Research & Development | 1.0 | 4 | Other | 1 | 1431 | 4 | Male | 91 | 3 | 1 | Research Scientist | 1 | Divorced | 2996 | 20284 | 5 | Y | No | 14 | 3 | 3 | 80 | 2 | 10 | 2 | 3 | 4 | 3 | 1 | 3 |
40.0 | No | Travel_Rarely | 300.0 | Sales | 26.0 | 3 | Marketing | 1 | 1066 | 3 | Male | 74 | 3 | 2 | Sales Executive | 1 | Married | 8396 | 22217 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 8 | 3 | 2 | 7 | 7 | 7 | 5 |
34.0 | Yes | Travel_Frequently | 234.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 1807 | 4 | Male | 93 | 3 | 2 | Laboratory Technician | 1 | Married | 5346 | 6208 | 4 | Y | No | 17 | 3 | 3 | 80 | 1 | 11 | 3 | 2 | 7 | 1 | 0 | 7 |
36.0 | Yes | Travel_Rarely | 660.0 | Research & Development | 15.0 | 3 | Other | 1 | 1052 | 1 | Male | 81 | 3 | 2 | Laboratory Technician | 3 | Divorced | 4834 | 7858 | 7 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
46.0 | No | Travel_Rarely | 228.0 | Sales | NaN | 3 | Life Sciences | 1 | 1527 | 3 | Female | 51 | 3 | 4 | Manager | 2 | Married | 16606 | 11380 | 8 | Y | No | 12 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 13 | 12 | 5 | 1 |
27.0 | No | Travel_Frequently | 1410.0 | Sales | NaN | 1 | Medical | 1 | 714 | 4 | Female | 71 | 4 | 2 | Sales Executive | 4 | Divorced | 4647 | 16673 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 0 | 4 |
34.0 | No | Travel_Rarely | 419.0 | Research & Development | 7.0 | 4 | Life Sciences | 1 | 28 | 1 | Female | 53 | 3 | 3 | Research Director | 2 | Single | 11994 | 21293 | 0 | Y | No | 11 | 3 | 3 | 80 | 0 | 13 | 4 | 3 | 12 | 6 | 2 | 11 |
42.0 | No | Travel_Rarely | 1332.0 | Research & Development | 2.0 | 4 | Other | 1 | 477 | 1 | Male | 98 | 2 | 2 | Healthcare Representative | 4 | Single | 6781 | 17078 | 3 | Y | No | 23 | 4 | 2 | 80 | 0 | 14 | 6 | 3 | 1 | 0 | 0 | 0 |
30.0 | Yes | Travel_Frequently | 600.0 | Human Resources | 8.0 | 3 | Human Resources | 1 | 1747 | 3 | Female | 66 | 2 | 1 | Human Resources | 4 | Divorced | 2180 | 9732 | 6 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 0 | 2 | 4 | 2 | 1 | 2 |
37.0 | No | Travel_Rarely | 1192.0 | Research & Development | NaN | 2 | Medical | 1 | 460 | 4 | Male | 61 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6347 | 23177 | 7 | Y | No | 16 | 3 | 3 | 80 | 2 | 8 | 2 | 2 | 6 | 2 | 0 | 4 |
54.0 | No | Travel_Rarely | 548.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 578 | 3 | Female | 42 | 3 | 2 | Laboratory Technician | 3 | Single | 3780 | 23428 | 7 | Y | No | 11 | 3 | 3 | 80 | 0 | 19 | 3 | 3 | 1 | 0 | 0 | 0 |
49.0 | No | Travel_Rarely | 1245.0 | Research & Development | 18.0 | 4 | Life Sciences | 1 | 638 | 4 | Male | 58 | 2 | 5 | Research Director | 3 | Divorced | 19502 | 2125 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 1 | 31 | 5 | 3 | 31 | 9 | 0 | 9 |
29.0 | Yes | Travel_Rarely | 992.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 300 | 3 | Male | 85 | 3 | 1 | Research Scientist | 3 | Single | 2058 | 19757 | 0 | Y | No | 14 | 3 | 4 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 1 | 5 |
NaN | Yes | Travel_Frequently | 599.0 | Sales | 24.0 | 1 | Life Sciences | 1 | 1273 | 3 | Male | 73 | 1 | 1 | Sales Representative | 4 | Single | 1118 | 8040 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 1 | 4 | 3 | 1 | 0 | 1 | 0 |
38.0 | No | Travel_Frequently | 1394.0 | Research & Development | 8.0 | 3 | Medical | 1 | 1937 | 4 | Female | 58 | 2 | 2 | Research Scientist | 2 | Divorced | 2133 | 18115 | 1 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 20 | 3 | 3 | 20 | 11 | 0 | 7 |
36.0 | No | Travel_Rarely | 1174.0 | Sales | NaN | 4 | Marketing | 1 | 1425 | 1 | Female | 99 | 3 | 2 | Sales Executive | 2 | Single | 9278 | 20763 | 3 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 15 | 3 | 3 | 5 | 4 | 0 | 1 |
39.0 | No | Travel_Rarely | 116.0 | Research & Development | 24.0 | 1 | Life Sciences | 1 | 2014 | 1 | Male | 52 | 3 | 2 | Research Scientist | 4 | Single | 4108 | 5340 | 7 | Y | No | 13 | 3 | 1 | 80 | 0 | 18 | 2 | 3 | 7 | 7 | 1 | 7 |
46.0 | No | Travel_Frequently | 638.0 | Research & Development | 1.0 | 3 | Medical | 1 | 124 | 3 | Male | 40 | 2 | 3 | Healthcare Representative | 1 | Married | 10673 | 3142 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 21 | 5 | 2 | 10 | 9 | 9 | 5 |
54.0 | No | Travel_Rarely | 971.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1422 | 4 | Female | 54 | 3 | 4 | Research Director | 4 | Single | 17328 | 5652 | 6 | Y | No | 19 | 3 | 4 | 80 | 0 | 29 | 3 | 2 | 20 | 7 | 12 | 7 |
45.0 | No | Non-Travel | 805.0 | Research & Development | 4.0 | 2 | Life Sciences | 1 | 972 | 3 | Male | 57 | 3 | 2 | Laboratory Technician | 2 | Married | 4447 | 23163 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 9 | 5 | 2 | 9 | 7 | 0 | 8 |
27.0 | No | Travel_Rarely | 205.0 | Sales | 10.0 | 3 | Marketing | 1 | 1403 | 4 | Female | 98 | 2 | 2 | Sales Executive | 4 | Married | 5769 | 7100 | 1 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 6 | 2 | 4 | 4 |
45.0 | No | Travel_Rarely | 194.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 206 | 2 | Male | 60 | 3 | 2 | Laboratory Technician | 2 | Divorced | 2348 | 10901 | 8 | Y | No | 18 | 3 | 3 | 80 | 1 | 20 | 2 | 1 | 17 | 9 | 0 | 15 |
31.0 | No | Travel_Rarely | 196.0 | Sales | 29.0 | 4 | Marketing | 1 | 1784 | 1 | Female | 91 | 2 | 2 | Sales Executive | 4 | Married | 5468 | 13402 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 13 | 3 | 3 | 12 | 7 | 5 | 7 |
27.0 | No | Travel_Rarely | 155.0 | Research & Development | 4.0 | 3 | Life Sciences | 1 | 2064 | 2 | Male | 87 | 4 | 2 | Manufacturing Director | 2 | Married | 6142 | 5174 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 6 | 0 | 3 | 6 | 2 | 0 | 3 |
44.0 | Yes | Travel_Rarely | 1376.0 | Human Resources | 1.0 | 2 | Medical | 1 | 1098 | 2 | Male | 91 | 2 | 3 | Human Resources | 1 | Married | 10482 | 2326 | 9 | Y | No | 14 | 3 | 4 | 80 | 1 | 24 | 1 | 3 | 20 | 6 | 3 | 6 |
NaN | No | Travel_Rarely | 384.0 | Sales | 8.0 | 4 | Life Sciences | 1 | 805 | 1 | Female | 72 | 3 | 1 | Sales Representative | 4 | Married | 2572 | 20317 | 1 | Y | No | 16 | 3 | 2 | 80 | 1 | 3 | 1 | 2 | 3 | 2 | 0 | 2 |
38.0 | No | Non-Travel | 152.0 | Sales | 10.0 | 3 | Technical Degree | 1 | 983 | 3 | Female | 85 | 3 | 2 | Sales Executive | 4 | Single | 5666 | 19899 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 6 | 1 | 3 | 5 | 3 | 1 | 3 |
30.0 | No | Travel_Rarely | 793.0 | Research & Development | 16.0 | 1 | Life Sciences | 1 | 1729 | 2 | Male | 33 | 3 | 1 | Research Scientist | 4 | Married | 2862 | 3811 | 1 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 2 | 10 | 0 | 0 | 8 |
20.0 | No | Travel_Rarely | 959.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 657 | 4 | Female | 83 | 2 | 1 | Research Scientist | 2 | Single | 2836 | 11757 | 1 | Y | No | 13 | 3 | 4 | 80 | 0 | 1 | 0 | 4 | 1 | 0 | 0 | 0 |
38.0 | No | Travel_Rarely | 268.0 | Research & Development | 2.0 | 5 | Medical | 1 | 773 | 4 | Male | 92 | 3 | 1 | Research Scientist | 3 | Married | 3057 | 20471 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 1 | 6 | 0 | 1 | 1 | 0 | 0 | 1 |
50.0 | Yes | Travel_Frequently | 959.0 | Sales | 1.0 | 4 | Other | 1 | 1113 | 4 | Male | 81 | 3 | 2 | Sales Executive | 3 | Single | 4728 | 17251 | 3 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 5 | 4 | 3 | 0 | 0 | 0 | 0 |
27.0 | No | Travel_Rarely | 1115.0 | Research & Development | NaN | 4 | Medical | 1 | 700 | 1 | Male | 54 | 2 | 1 | Research Scientist | 4 | Single | 2045 | 15174 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 5 | 0 | 3 | 4 | 2 | 1 | 1 |
36.0 | No | Travel_Rarely | 1278.0 | Human Resources | 8.0 | 3 | Life Sciences | 1 | 878 | 1 | Male | 77 | 2 | 1 | Human Resources | 1 | Married | 2342 | 8635 | 0 | Y | No | 21 | 4 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 4 | 0 | 3 |
42.0 | No | Travel_Rarely | 1210.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1542 | 3 | Male | 68 | 2 | 1 | Laboratory Technician | 2 | Married | 4841 | 24052 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 4 | 3 | 3 | 1 | 0 | 0 | 0 |
58.0 | No | Travel_Frequently | 1216.0 | Research & Development | 15.0 | 4 | Life Sciences | 1 | 1837 | 1 | Male | 87 | 3 | 4 | Research Director | 3 | Married | 15787 | 21624 | 2 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 23 | 3 | 3 | 2 | 2 | 2 | 2 |
33.0 | No | Travel_Rarely | 654.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 1099 | 4 | Male | 34 | 2 | 3 | Healthcare Representative | 4 | Divorced | 7119 | 21214 | 4 | Y | No | 15 | 3 | 3 | 80 | 1 | 9 | 2 | 3 | 3 | 2 | 1 | 2 |
34.0 | No | Travel_Rarely | 1354.0 | Research & Development | NaN | 3 | Medical | 1 | 153 | 3 | Female | 45 | 2 | 3 | Manager | 1 | Single | 11631 | 5615 | 2 | Y | No | 12 | 3 | 4 | 80 | 0 | 14 | 6 | 3 | 11 | 10 | 5 | 8 |
NaN | No | Travel_Rarely | 802.0 | Research & Development | 10.0 | 3 | Other | 1 | 1028 | 2 | Male | 45 | 3 | 1 | Laboratory Technician | 4 | Divorced | 3917 | 9541 | 1 | Y | No | 20 | 4 | 1 | 80 | 1 | 3 | 4 | 2 | 3 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 1029.0 | Research & Development | 16.0 | 3 | Life Sciences | 1 | 1529 | 4 | Female | 91 | 2 | 3 | Healthcare Representative | 2 | Single | 8606 | 21195 | 1 | Y | No | 19 | 3 | 4 | 80 | 0 | 11 | 3 | 1 | 11 | 8 | 3 | 3 |
41.0 | No | Travel_Rarely | 167.0 | Research & Development | 12.0 | 4 | Life Sciences | 1 | 1158 | 2 | Male | 46 | 3 | 1 | Laboratory Technician | 4 | Married | 4766 | 9051 | 3 | Y | Yes | 11 | 3 | 1 | 80 | 1 | 6 | 4 | 3 | 1 | 0 | 0 | 0 |
43.0 | No | Travel_Frequently | 394.0 | Sales | 26.0 | 2 | Life Sciences | 1 | 158 | 3 | Male | 92 | 3 | 4 | Manager | 4 | Married | 16959 | 19494 | 1 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 25 | 3 | 4 | 25 | 12 | 4 | 12 |
32.0 | Yes | Travel_Rarely | 374.0 | Research & Development | 25.0 | 4 | Life Sciences | 1 | 911 | 1 | Male | 87 | 3 | 1 | Laboratory Technician | 4 | Single | 2795 | 18016 | 1 | Y | Yes | 24 | 4 | 3 | 80 | 0 | 1 | 2 | 1 | 1 | 0 | 0 | 1 |
NaN | No | Travel_Rarely | 607.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 880 | 4 | Female | 66 | 2 | 3 | Manufacturing Director | 3 | Married | 10685 | 23457 | 1 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 17 | 2 | 3 | 17 | 14 | 5 | 15 |
31.0 | No | Travel_Rarely | 408.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 493 | 3 | Male | 42 | 2 | 1 | Research Scientist | 2 | Single | 2657 | 7551 | 0 | Y | Yes | 16 | 3 | 4 | 80 | 0 | 3 | 5 | 3 | 2 | 2 | 2 | 2 |
45.0 | No | Travel_Rarely | 1385.0 | Research & Development | 20.0 | 2 | Medical | 1 | 372 | 3 | Male | 79 | 3 | 4 | Healthcare Representative | 4 | Married | 13496 | 7501 | 0 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 21 | 2 | 3 | 20 | 7 | 4 | 10 |
33.0 | No | Travel_Rarely | 1075.0 | Human Resources | NaN | 2 | Human Resources | 1 | 910 | 4 | Male | 57 | 3 | 1 | Human Resources | 2 | Divorced | 2277 | 22650 | 3 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 7 | 4 | 4 | 4 | 3 | 0 | 3 |
32.0 | No | Travel_Rarely | 604.0 | Sales | 8.0 | 3 | Medical | 1 | 1304 | 3 | Male | 56 | 4 | 2 | Sales Executive | 4 | Married | 6209 | 11693 | 1 | Y | No | 15 | 3 | 3 | 80 | 2 | 10 | 4 | 4 | 10 | 7 | 0 | 8 |
34.0 | No | Travel_Frequently | 1003.0 | Research & Development | 2.0 | 2 | Life Sciences | 1 | 1140 | 4 | Male | 95 | 3 | 2 | Manufacturing Director | 3 | Single | 4033 | 15834 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 5 | 3 | 2 | 3 | 2 | 0 | 2 |
40.0 | No | Travel_Frequently | 1184.0 | Sales | 2.0 | 4 | Medical | 1 | 1212 | 2 | Male | 62 | 3 | 2 | Sales Executive | 2 | Married | 4327 | 25440 | 5 | Y | No | 12 | 3 | 4 | 80 | 3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 |
34.0 | No | Non-Travel | 1065.0 | Sales | 23.0 | 4 | Marketing | 1 | 60 | 2 | Male | 72 | 3 | 2 | Sales Executive | 3 | Single | 4568 | 10034 | 0 | Y | No | 20 | 4 | 3 | 80 | 0 | 10 | 2 | 3 | 9 | 5 | 8 | 7 |
33.0 | No | Non-Travel | 775.0 | Research & Development | 4.0 | 3 | Technical Degree | 1 | 1771 | 4 | Male | 90 | 3 | 2 | Research Scientist | 2 | Divorced | 3055 | 6194 | 5 | Y | No | 15 | 3 | 4 | 80 | 2 | 11 | 2 | 2 | 9 | 8 | 1 | 7 |
32.0 | No | Travel_Rarely | 499.0 | Sales | 2.0 | 1 | Marketing | 1 | 1396 | 3 | Male | 36 | 3 | 2 | Sales Executive | 2 | Married | 4078 | 20497 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 3 | 4 | 3 | 2 | 3 | 2 | 1 | 2 |
20.0 | No | Travel_Rarely | 654.0 | Sales | 21.0 | 3 | Marketing | 1 | 1226 | 3 | Male | 43 | 4 | 1 | Sales Representative | 4 | Single | 2678 | 5050 | 1 | Y | No | 17 | 3 | 4 | 80 | 0 | 2 | 2 | 3 | 2 | 1 | 2 | 2 |
36.0 | No | Travel_Rarely | 796.0 | Research & Development | 12.0 | 5 | Medical | 1 | 1073 | 4 | Female | 51 | 2 | 3 | Manufacturing Director | 4 | Single | 8858 | 15669 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 14 | 8 | 7 | 8 |
27.0 | No | Travel_Rarely | 591.0 | Research & Development | 2.0 | 1 | Medical | 1 | 7 | 1 | Male | 40 | 3 | 1 | Laboratory Technician | 2 | Married | 3468 | 16632 | 9 | Y | No | 12 | 3 | 4 | 80 | 1 | 6 | 3 | 3 | 2 | 2 | 2 | 2 |
NaN | No | Travel_Rarely | 949.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 1415 | 1 | Male | 81 | 3 | 1 | Laboratory Technician | 4 | Married | 3229 | 4910 | 4 | Y | No | 11 | 3 | 2 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
37.0 | No | Travel_Rarely | 589.0 | Sales | 9.0 | 2 | Marketing | 1 | 1787 | 2 | Male | 46 | 2 | 2 | Sales Executive | 2 | Married | 4189 | 8800 | 1 | Y | No | 14 | 3 | 1 | 80 | 2 | 5 | 2 | 3 | 5 | 2 | 0 | 3 |
46.0 | No | Travel_Rarely | 488.0 | Sales | 2.0 | 3 | Technical Degree | 1 | 363 | 3 | Female | 75 | 1 | 4 | Manager | 2 | Married | 16872 | 14977 | 3 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 28 | 2 | 2 | 7 | 7 | 7 | 7 |
45.0 | No | Travel_Rarely | 1329.0 | Research & Development | 2.0 | 2 | Other | 1 | 1635 | 4 | Female | 59 | 2 | 2 | Manufacturing Director | 4 | Divorced | 5770 | 5388 | 1 | Y | No | 19 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 7 | 3 | 9 |
34.0 | No | Travel_Rarely | 1480.0 | Sales | 4.0 | 3 | Life Sciences | 1 | 1882 | 3 | Male | 64 | 3 | 3 | Sales Executive | 4 | Married | 9713 | 24444 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 3 | 9 | 3 | 3 | 5 | 3 | 1 | 0 |
22.0 | Yes | Travel_Frequently | 1368.0 | Research & Development | 4.0 | 1 | Technical Degree | 1 | 593 | 3 | Male | 99 | 2 | 1 | Laboratory Technician | 3 | Single | 3894 | 9129 | 5 | Y | No | 16 | 3 | 3 | 80 | 0 | 4 | 3 | 3 | 2 | 2 | 1 | 2 |
NaN | No | Travel_Frequently | 200.0 | Research & Development | 18.0 | 2 | Life Sciences | 1 | 1412 | 3 | Male | 60 | 3 | 3 | Manufacturing Director | 4 | Single | 9362 | 19944 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 2 | 2 | 2 | 2 |
29.0 | Yes | Travel_Rarely | 224.0 | Research & Development | 1.0 | 4 | Technical Degree | 1 | 1522 | 1 | Male | 100 | 2 | 1 | Research Scientist | 1 | Single | 2362 | 7568 | 6 | Y | No | 13 | 3 | 3 | 80 | 0 | 11 | 2 | 1 | 9 | 7 | 0 | 7 |
40.0 | No | Travel_Frequently | 593.0 | Research & Development | 9.0 | 4 | Medical | 1 | 1166 | 2 | Female | 88 | 3 | 3 | Research Director | 3 | Single | 13499 | 13782 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 20 | 3 | 2 | 18 | 7 | 2 | 13 |
31.0 | Yes | Travel_Rarely | 359.0 | Human Resources | 18.0 | 5 | Human Resources | 1 | 1842 | 4 | Male | 89 | 4 | 1 | Human Resources | 1 | Married | 2956 | 21495 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 2 | 4 | 3 | 1 | 0 | 0 | 0 |
39.0 | No | Travel_Rarely | 1132.0 | Research & Development | 1.0 | 3 | Medical | 1 | 417 | 3 | Male | 48 | 4 | 3 | Healthcare Representative | 4 | Divorced | 9613 | 10942 | 0 | Y | No | 17 | 3 | 1 | 80 | 3 | 19 | 5 | 2 | 18 | 10 | 3 | 7 |
NaN | No | Travel_Rarely | 580.0 | Research & Development | 27.0 | 3 | Medical | 1 | 1622 | 2 | Female | 39 | 1 | 2 | Manufacturing Director | 1 | Divorced | 4877 | 20460 | 0 | Y | No | 21 | 4 | 2 | 80 | 1 | 6 | 5 | 2 | 5 | 3 | 0 | 0 |
33.0 | No | Travel_Frequently | 553.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 428 | 4 | Female | 74 | 3 | 3 | Manager | 2 | Married | 11878 | 23364 | 6 | Y | No | 11 | 3 | 2 | 80 | 2 | 12 | 2 | 3 | 10 | 6 | 8 | 8 |
19.0 | No | Travel_Rarely | 1181.0 | Research & Development | NaN | 1 | Medical | 1 | 201 | 2 | Female | 79 | 3 | 1 | Laboratory Technician | 2 | Single | 1483 | 16102 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
34.0 | No | Travel_Rarely | 182.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 797 | 2 | Female | 72 | 4 | 1 | Research Scientist | 4 | Single | 3280 | 13551 | 2 | Y | No | 16 | 3 | 3 | 80 | 0 | 10 | 2 | 3 | 4 | 2 | 1 | 3 |
48.0 | Yes | Travel_Rarely | 626.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 64 | 1 | Male | 98 | 2 | 3 | Laboratory Technician | 3 | Single | 5381 | 19294 | 9 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 23 | 2 | 3 | 1 | 0 | 0 | 0 |
39.0 | No | Travel_Rarely | 1387.0 | Research & Development | 10.0 | 5 | Medical | 1 | 1618 | 2 | Male | 76 | 3 | 2 | Manufacturing Director | 1 | Married | 5377 | 3835 | 2 | Y | No | 13 | 3 | 4 | 80 | 3 | 10 | 3 | 3 | 7 | 7 | 7 | 7 |
31.0 | No | Travel_Frequently | 853.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 1011 | 3 | Female | 96 | 3 | 2 | Manufacturing Director | 1 | Married | 4148 | 11275 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 1 | 3 | 4 | 3 | 0 | 3 |
27.0 | No | Travel_Rarely | 199.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 1162 | 4 | Male | 55 | 2 | 1 | Research Scientist | 3 | Married | 2539 | 7950 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 4 | 0 | 3 | 4 | 2 | 2 | 2 |
34.0 | No | Travel_Rarely | 479.0 | Research & Development | 7.0 | 4 | Medical | 1 | 1577 | 1 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2972 | 22061 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 0 |
24.0 | No | Travel_Frequently | 535.0 | Sales | 24.0 | 3 | Medical | 1 | 632 | 4 | Male | 38 | 3 | 1 | Sales Representative | 4 | Married | 2400 | 5530 | 0 | Y | No | 13 | 3 | 3 | 80 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 1 |
51.0 | No | Travel_Rarely | 1405.0 | Research & Development | 11.0 | 2 | Technical Degree | 1 | 1367 | 4 | Female | 82 | 2 | 4 | Manufacturing Director | 2 | Single | 13142 | 24439 | 3 | Y | No | 16 | 3 | 2 | 80 | 0 | 29 | 1 | 2 | 5 | 2 | 0 | 3 |
50.0 | No | Non-Travel | 881.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 905 | 1 | Male | 98 | 3 | 4 | Manager | 1 | Divorced | 17924 | 4544 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 31 | 3 | 3 | 31 | 6 | 14 | 7 |
31.0 | No | Travel_Rarely | 329.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 530 | 4 | Male | 98 | 2 | 1 | Laboratory Technician | 1 | Married | 2218 | 16193 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 4 | 3 | 3 | 4 | 2 | 3 | 2 |
36.0 | No | Travel_Rarely | 913.0 | Research & Development | 9.0 | 2 | Medical | 1 | 699 | 2 | Male | 48 | 2 | 2 | Manufacturing Director | 2 | Divorced | 8847 | 13934 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 13 | 2 | 3 | 3 | 2 | 0 | 2 |
27.0 | No | Travel_Rarely | 1377.0 | Sales | 2.0 | 3 | Life Sciences | 1 | 437 | 4 | Male | 74 | 3 | 2 | Sales Executive | 3 | Single | 4478 | 5242 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 4 |
38.0 | No | Travel_Rarely | 371.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 24 | 4 | Male | 45 | 3 | 1 | Research Scientist | 4 | Single | 3944 | 4306 | 5 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 3 | 2 | 1 | 2 |
40.0 | No | Travel_Rarely | 658.0 | Sales | 10.0 | 4 | Marketing | 1 | 954 | 1 | Male | 67 | 2 | 3 | Sales Executive | 2 | Divorced | 9705 | 20652 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 11 | 2 | 2 | 1 | 0 | 0 | 0 |
43.0 | No | Travel_Rarely | 1273.0 | Research & Development | 2.0 | 2 | Medical | 1 | 46 | 4 | Female | 72 | 4 | 1 | Research Scientist | 3 | Divorced | 2645 | 21923 | 1 | Y | No | 12 | 3 | 4 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 1 | 4 |
27.0 | No | Travel_Rarely | 1167.0 | Research & Development | 4.0 | 2 | Life Sciences | 1 | 1259 | 1 | Male | 76 | 3 | 1 | Research Scientist | 3 | Divorced | 2517 | 3208 | 1 | Y | No | 11 | 3 | 2 | 80 | 3 | 5 | 2 | 3 | 5 | 3 | 0 | 3 |
NaN | No | Travel_Frequently | 773.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 1154 | 3 | Male | 39 | 2 | 1 | Research Scientist | 3 | Divorced | 2703 | 22088 | 1 | Y | Yes | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 3 | 1 | 0 | 2 |
27.0 | No | Travel_Frequently | 1297.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 1850 | 4 | Female | 53 | 3 | 1 | Laboratory Technician | 4 | Single | 2379 | 19826 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 3 | 2 | 5 | 4 | 0 | 2 |
45.0 | No | Travel_Rarely | NaN | Research & Development | 10.0 | 2 | Life Sciences | 1 | 544 | 1 | Male | 69 | 3 | 1 | Research Scientist | 4 | Married | 2654 | 9655 | 3 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 3 | 2 | 2 | 2 | 0 | 2 |
34.0 | No | Travel_Frequently | 135.0 | Research & Development | 19.0 | 3 | Medical | 1 | 1285 | 3 | Female | 46 | 3 | 2 | Laboratory Technician | 2 | Divorced | 4444 | 22534 | 4 | Y | No | 13 | 3 | 3 | 80 | 2 | 15 | 2 | 4 | 11 | 8 | 5 | 10 |
27.0 | No | Travel_Frequently | 294.0 | Research & Development | 10.0 | 2 | Life Sciences | 1 | 733 | 4 | Male | 32 | 3 | 3 | Manufacturing Director | 1 | Divorced | 8793 | 4809 | 1 | Y | No | 21 | 4 | 3 | 80 | 2 | 9 | 4 | 2 | 9 | 7 | 1 | 7 |
59.0 | No | Travel_Rarely | 1089.0 | Sales | 1.0 | 2 | Technical Degree | 1 | 1048 | 2 | Male | 66 | 3 | 3 | Manager | 4 | Married | 11904 | 11038 | 3 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 14 | 1 | 1 | 6 | 4 | 0 | 4 |
44.0 | No | Travel_Frequently | 1193.0 | Research & Development | 2.0 | 1 | Medical | 1 | 1496 | 2 | Male | 86 | 3 | 3 | Manufacturing Director | 3 | Single | 10209 | 19719 | 5 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 16 | 2 | 2 | 2 | 2 | 2 | 2 |
31.0 | No | Travel_Frequently | 1327.0 | Research & Development | NaN | 4 | Medical | 1 | 337 | 2 | Male | 73 | 3 | 3 | Research Director | 3 | Divorced | 13675 | 13523 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 9 | 3 | 3 | 2 | 2 | 2 | 2 |
23.0 | No | Travel_Rarely | 977.0 | Research & Development | 10.0 | 3 | Technical Degree | 1 | 1592 | 4 | Male | 45 | 4 | 1 | Research Scientist | 3 | Married | 2073 | 12826 | 2 | Y | No | 16 | 3 | 4 | 80 | 1 | 4 | 2 | 3 | 2 | 2 | 2 | 2 |
38.0 | No | Travel_Rarely | 330.0 | Research & Development | 17.0 | 1 | Life Sciences | 1 | 1088 | 3 | Female | 65 | 2 | 3 | Healthcare Representative | 3 | Married | 8823 | 24608 | 0 | Y | No | 18 | 3 | 1 | 80 | 1 | 20 | 4 | 2 | 19 | 9 | 1 | 9 |
43.0 | No | Travel_Rarely | 782.0 | Research & Development | 6.0 | 4 | Other | 1 | 661 | 2 | Male | 50 | 2 | 4 | Research Director | 4 | Divorced | 16627 | 2671 | 4 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 2 | 1 | 0 | 0 | 0 |
32.0 | No | Travel_Frequently | 967.0 | Sales | 8.0 | 3 | Marketing | 1 | 207 | 2 | Female | 43 | 3 | 3 | Sales Executive | 4 | Single | 8998 | 15589 | 1 | Y | No | 14 | 3 | 4 | 80 | 0 | 9 | 2 | 3 | 9 | 8 | 3 | 7 |
NaN | No | Travel_Frequently | 482.0 | Research & Development | 4.0 | 4 | Life Sciences | 1 | 1350 | 3 | Male | 87 | 3 | 2 | Research Scientist | 3 | Single | 4249 | 2690 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 9 | 6 | 1 | 1 |
19.0 | No | Travel_Rarely | 645.0 | Research & Development | 9.0 | 2 | Life Sciences | 1 | 1193 | 3 | Male | 54 | 3 | 1 | Research Scientist | 1 | Single | 2552 | 7172 | 1 | Y | No | 25 | 4 | 3 | 80 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 |
45.0 | No | Travel_Rarely | 930.0 | Sales | 9.0 | 3 | Marketing | 1 | 864 | 4 | Male | 74 | 3 | 3 | Sales Executive | 1 | Divorced | 10761 | 19239 | 4 | Y | Yes | 12 | 3 | 3 | 80 | 1 | 18 | 2 | 3 | 5 | 4 | 0 | 2 |
NaN | No | Travel_Frequently | 1283.0 | Sales | 1.0 | 3 | Medical | 1 | 956 | 3 | Male | 52 | 2 | 2 | Sales Executive | 1 | Single | 4294 | 11148 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 7 | 2 | 3 | 7 | 7 | 0 | 7 |
36.0 | No | Non-Travel | 1434.0 | Sales | 8.0 | 4 | Life Sciences | 1 | 789 | 1 | Male | 76 | 2 | 3 | Sales Executive | 1 | Single | 7587 | 14229 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 1 | 3 | 10 | 7 | 0 | 9 |
43.0 | No | Travel_Rarely | 574.0 | Research & Development | 11.0 | 3 | Life Sciences | 1 | 1971 | 1 | Male | 30 | 3 | 3 | Healthcare Representative | 3 | Married | 7510 | 16873 | 1 | Y | No | 17 | 3 | 2 | 80 | 1 | 10 | 1 | 3 | 10 | 9 | 0 | 9 |
22.0 | No | Non-Travel | 1123.0 | Research & Development | 16.0 | 2 | Medical | 1 | 22 | 4 | Male | 96 | 4 | 1 | Laboratory Technician | 4 | Divorced | 2935 | 7324 | 1 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 1 | 2 | 2 | 1 | 0 | 0 | 0 |
19.0 | Yes | Travel_Rarely | 528.0 | Sales | 22.0 | 1 | Marketing | 1 | 167 | 4 | Male | 50 | 3 | 1 | Sales Representative | 3 | Single | 1675 | 26820 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 |
36.0 | No | Travel_Rarely | 429.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 1294 | 3 | Female | 53 | 3 | 2 | Manufacturing Director | 2 | Single | 5410 | 2323 | 9 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 16 | 14 | 5 | 12 |
31.0 | Yes | Travel_Frequently | 703.0 | Sales | 2.0 | 3 | Life Sciences | 1 | 1379 | 3 | Female | 90 | 2 | 1 | Sales Representative | 4 | Single | 2785 | 11882 | 7 | Y | No | 14 | 3 | 3 | 80 | 0 | 3 | 3 | 4 | 1 | 0 | 0 | 0 |
36.0 | No | Travel_Frequently | 688.0 | Research & Development | 4.0 | 2 | Life Sciences | 1 | 2025 | 4 | Female | 97 | 3 | 2 | Manufacturing Director | 2 | Divorced | 5131 | 9192 | 7 | Y | No | 13 | 3 | 2 | 80 | 3 | 18 | 3 | 3 | 4 | 2 | 0 | 2 |
52.0 | No | Travel_Rarely | 699.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 259 | 3 | Male | 65 | 2 | 5 | Manager | 3 | Married | 19999 | 5678 | 0 | Y | No | 14 | 3 | 1 | 80 | 1 | 34 | 5 | 3 | 33 | 18 | 11 | 9 |
32.0 | No | Travel_Rarely | 634.0 | Research & Development | NaN | 4 | Other | 1 | 1607 | 2 | Female | 35 | 4 | 1 | Research Scientist | 4 | Married | 3312 | 18783 | 3 | Y | No | 17 | 3 | 4 | 80 | 2 | 6 | 3 | 3 | 3 | 2 | 0 | 2 |
39.0 | No | Non-Travel | 1485.0 | Research & Development | 25.0 | 2 | Life Sciences | 1 | 1397 | 3 | Male | 71 | 3 | 3 | Healthcare Representative | 3 | Married | 10920 | 3449 | 3 | Y | No | 21 | 4 | 2 | 80 | 1 | 13 | 2 | 3 | 6 | 4 | 0 | 5 |
52.0 | No | Non-Travel | 585.0 | Sales | 29.0 | 4 | Life Sciences | 1 | 2019 | 1 | Male | 40 | 3 | 1 | Sales Representative | 4 | Divorced | 3482 | 19788 | 2 | Y | No | 15 | 3 | 2 | 80 | 2 | 16 | 3 | 2 | 9 | 8 | 0 | 0 |
32.0 | No | Travel_Frequently | 585.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 1720 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Married | 3433 | 17360 | 6 | Y | No | 13 | 3 | 1 | 80 | 1 | 10 | 3 | 2 | 5 | 2 | 1 | 3 |
34.0 | No | Travel_Frequently | 702.0 | Research & Development | 16.0 | 4 | Life Sciences | 1 | 838 | 3 | Female | 100 | 2 | 1 | Research Scientist | 4 | Single | 2553 | 8306 | 1 | Y | No | 16 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 2 | 1 | 3 |
31.0 | No | Travel_Rarely | 140.0 | Research & Development | 12.0 | 1 | Medical | 1 | 246 | 3 | Female | 95 | 3 | 1 | Research Scientist | 4 | Married | 3929 | 6984 | 8 | Y | Yes | 23 | 4 | 3 | 80 | 1 | 7 | 0 | 3 | 4 | 2 | 0 | 2 |
18.0 | No | Travel_Rarely | 812.0 | Sales | 10.0 | 3 | Medical | 1 | 411 | 4 | Female | 69 | 2 | 1 | Sales Representative | 3 | Single | 1200 | 9724 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 |
21.0 | No | Travel_Rarely | 1343.0 | Sales | 22.0 | 1 | Technical Degree | 1 | 669 | 3 | Male | 49 | 3 | 1 | Sales Representative | 3 | Single | 3447 | 24444 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 3 | 2 | 1 | 2 |
36.0 | No | Travel_Rarely | 430.0 | Research & Development | 2.0 | 4 | Other | 1 | 1847 | 4 | Female | 73 | 3 | 2 | Research Scientist | 2 | Married | 6962 | 19573 | 4 | Y | Yes | 22 | 4 | 4 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 0 | 0 |
24.0 | No | Travel_Rarely | 506.0 | Research & Development | 29.0 | 1 | Medical | 1 | 1725 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Divorced | 3907 | 3622 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 6 | 2 | 4 | 6 | 2 | 1 | 2 |
34.0 | No | Travel_Rarely | 678.0 | Research & Development | 19.0 | 3 | Life Sciences | 1 | 1701 | 2 | Female | 35 | 2 | 1 | Research Scientist | 4 | Married | 2929 | 20338 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 8 | 7 |
NaN | No | Travel_Rarely | 810.0 | Sales | 8.0 | 3 | Life Sciences | 1 | 707 | 4 | Male | 57 | 4 | 2 | Sales Executive | 2 | Married | 4851 | 15678 | 0 | Y | No | 22 | 4 | 3 | 80 | 1 | 4 | 4 | 3 | 3 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 1423.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1506 | 1 | Male | 72 | 2 | 1 | Research Scientist | 3 | Divorced | 1563 | 12530 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 |
24.0 | No | Travel_Rarely | NaN | Research & Development | 17.0 | 2 | Other | 1 | 643 | 4 | Male | 94 | 2 | 1 | Laboratory Technician | 2 | Married | 2127 | 9100 | 1 | Y | No | 21 | 4 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
58.0 | No | Travel_Rarely | 1145.0 | Research & Development | 9.0 | 3 | Medical | 1 | 214 | 2 | Female | 75 | 2 | 1 | Research Scientist | 2 | Married | 3346 | 11873 | 4 | Y | Yes | 20 | 4 | 2 | 80 | 1 | 9 | 3 | 2 | 1 | 0 | 0 | 0 |
32.0 | No | Travel_Rarely | 334.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 21 | 1 | Male | 80 | 4 | 1 | Research Scientist | 2 | Divorced | 3298 | 15053 | 0 | Y | Yes | 12 | 3 | 4 | 80 | 2 | 7 | 5 | 2 | 6 | 2 | 0 | 5 |
29.0 | No | Travel_Frequently | 410.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1513 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 3180 | 4668 | 0 | Y | No | 13 | 3 | 3 | 80 | 3 | 4 | 3 | 3 | 3 | 2 | 0 | 2 |
29.0 | No | Travel_Rarely | 1396.0 | Sales | 10.0 | 3 | Life Sciences | 1 | 749 | 3 | Male | 99 | 3 | 1 | Sales Representative | 3 | Single | 2642 | 2755 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 1 | 6 | 3 | 1 | 0 | 0 | 0 |
44.0 | No | Travel_Rarely | 661.0 | Research & Development | 9.0 | 2 | Life Sciences | 1 | 913 | 2 | Male | 61 | 3 | 1 | Research Scientist | 1 | Married | 2559 | 7508 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 1 |
23.0 | Yes | Travel_Rarely | 1320.0 | Research & Development | 8.0 | 1 | Medical | 1 | 1684 | 4 | Male | 93 | 2 | 1 | Laboratory Technician | 3 | Single | 3989 | 20586 | 1 | Y | Yes | 11 | 3 | 1 | 80 | 0 | 5 | 2 | 3 | 5 | 4 | 1 | 2 |
36.0 | No | Travel_Rarely | 329.0 | Sales | 16.0 | 4 | Marketing | 1 | 1436 | 3 | Female | 98 | 2 | 2 | Sales Executive | 1 | Married | 5647 | 13494 | 4 | Y | No | 13 | 3 | 1 | 80 | 2 | 11 | 3 | 2 | 3 | 2 | 0 | 2 |
46.0 | No | Travel_Rarely | 717.0 | Research & Development | 13.0 | 4 | Life Sciences | 1 | 1727 | 3 | Male | 34 | 3 | 2 | Healthcare Representative | 2 | Single | 5562 | 9697 | 6 | Y | No | 14 | 3 | 4 | 80 | 0 | 19 | 3 | 3 | 10 | 7 | 0 | 9 |
40.0 | No | Travel_Rarely | 523.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 1346 | 3 | Male | 98 | 3 | 2 | Research Scientist | 4 | Single | 4661 | 22455 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 9 | 4 | 3 | 9 | 8 | 8 | 8 |
31.0 | No | Non-Travel | 976.0 | Research & Development | NaN | 2 | Medical | 1 | 1948 | 3 | Male | 48 | 3 | 1 | Research Scientist | 1 | Divorced | 3065 | 3995 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 4 | 3 | 4 | 4 | 2 | 2 | 3 |
55.0 | No | Travel_Rarely | 147.0 | Research & Development | 20.0 | 2 | Technical Degree | 1 | 389 | 2 | Male | 37 | 3 | 2 | Laboratory Technician | 4 | Married | 5415 | 15972 | 3 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 12 | 4 | 3 | 10 | 7 | 0 | 8 |
NaN | Yes | Travel_Rarely | 1330.0 | Research & Development | 21.0 | 3 | Medical | 1 | 1107 | 1 | Male | 37 | 3 | 1 | Laboratory Technician | 3 | Divorced | 2377 | 19373 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 |
59.0 | No | Travel_Rarely | 142.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 309 | 3 | Male | 70 | 2 | 1 | Research Scientist | 4 | Married | 2177 | 8456 | 3 | Y | No | 17 | 3 | 1 | 80 | 1 | 7 | 6 | 3 | 1 | 0 | 0 | 0 |
32.0 | Yes | Travel_Frequently | 1125.0 | Research & Development | 16.0 | 1 | Life Sciences | 1 | 33 | 2 | Female | 72 | 1 | 1 | Research Scientist | 1 | Single | 3919 | 4681 | 1 | Y | Yes | 22 | 4 | 2 | 80 | 0 | 10 | 5 | 3 | 10 | 2 | 6 | 7 |
30.0 | No | Travel_Rarely | 413.0 | Sales | 7.0 | 1 | Marketing | 1 | 585 | 4 | Male | 57 | 3 | 1 | Sales Representative | 2 | Single | 2983 | 18398 | 0 | Y | No | 14 | 3 | 1 | 80 | 0 | 4 | 3 | 3 | 3 | 2 | 1 | 2 |
32.0 | No | Travel_Rarely | 234.0 | Sales | 1.0 | 4 | Medical | 1 | 2013 | 2 | Male | 68 | 2 | 1 | Sales Representative | 2 | Married | 2269 | 18024 | 0 | Y | No | 14 | 3 | 2 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
29.0 | Yes | Travel_Rarely | 896.0 | Research & Development | 18.0 | 1 | Medical | 1 | 315 | 3 | Male | 86 | 2 | 1 | Research Scientist | 4 | Single | 2389 | 14961 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 4 | 3 | 2 | 4 | 3 | 0 | 1 |
NaN | No | Travel_Rarely | 890.0 | Sales | 2.0 | 3 | Marketing | 1 | 49 | 4 | Female | 97 | 3 | 1 | Sales Representative | 4 | Married | 2014 | 9687 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 2 | 2 |
52.0 | Yes | Travel_Rarely | 266.0 | Sales | 2.0 | 1 | Marketing | 1 | 1038 | 1 | Female | 57 | 1 | 5 | Manager | 4 | Married | 19845 | 25846 | 1 | Y | No | 15 | 3 | 4 | 80 | 1 | 33 | 3 | 3 | 32 | 14 | 6 | 9 |
40.0 | No | Travel_Rarely | 896.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1474 | 3 | Male | 68 | 3 | 1 | Research Scientist | 3 | Divorced | 2345 | 8045 | 2 | Y | No | 14 | 3 | 3 | 80 | 1 | 8 | 3 | 4 | 3 | 1 | 1 | 2 |
32.0 | Yes | Non-Travel | 1474.0 | Sales | 11.0 | 4 | Other | 1 | 631 | 4 | Male | 60 | 4 | 2 | Sales Executive | 3 | Married | 4707 | 23914 | 8 | Y | No | 12 | 3 | 4 | 80 | 0 | 6 | 2 | 3 | 4 | 2 | 1 | 2 |
33.0 | No | Non-Travel | 1283.0 | Sales | 2.0 | 3 | Marketing | 1 | 1756 | 4 | Female | 62 | 3 | 2 | Sales Executive | 2 | Single | 5147 | 10697 | 8 | Y | No | 15 | 3 | 4 | 80 | 0 | 13 | 2 | 2 | 11 | 7 | 1 | 7 |
42.0 | No | Travel_Rarely | 300.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 2031 | 1 | Male | 56 | 3 | 5 | Manager | 3 | Married | 18880 | 17312 | 5 | Y | No | 11 | 3 | 1 | 80 | 0 | 24 | 2 | 2 | 22 | 6 | 4 | 14 |
36.0 | No | Travel_Rarely | 938.0 | Research & Development | 2.0 | 4 | Medical | 1 | 958 | 3 | Male | 79 | 3 | 1 | Laboratory Technician | 3 | Single | 2519 | 12287 | 4 | Y | No | 21 | 4 | 3 | 80 | 0 | 16 | 6 | 3 | 11 | 8 | 3 | 9 |
48.0 | No | Travel_Frequently | 117.0 | Research & Development | 22.0 | 3 | Medical | 1 | 1900 | 4 | Female | 58 | 3 | 4 | Manager | 4 | Divorced | 17174 | 2437 | 3 | Y | No | 11 | 3 | 2 | 80 | 1 | 24 | 3 | 3 | 22 | 17 | 4 | 7 |
49.0 | No | Travel_Rarely | 1418.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 887 | 3 | Female | 36 | 3 | 1 | Research Scientist | 1 | Married | 3580 | 10554 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 7 | 2 | 3 | 4 | 2 | 0 | 2 |
43.0 | No | Travel_Rarely | 244.0 | Human Resources | 2.0 | 3 | Life Sciences | 1 | 1778 | 2 | Male | 97 | 3 | 1 | Human Resources | 4 | Single | 3539 | 5033 | 0 | Y | No | 13 | 3 | 2 | 80 | 0 | 10 | 5 | 3 | 9 | 7 | 1 | 8 |
37.0 | No | Travel_Rarely | 671.0 | Research & Development | 19.0 | 3 | Life Sciences | 1 | 1631 | 3 | Male | 85 | 3 | 2 | Manufacturing Director | 3 | Married | 5768 | 26493 | 3 | Y | No | 17 | 3 | 1 | 80 | 3 | 9 | 2 | 2 | 4 | 3 | 0 | 2 |
45.0 | No | Travel_Rarely | 1005.0 | Research & Development | 28.0 | 2 | Technical Degree | 1 | 1719 | 4 | Female | 48 | 2 | 4 | Research Director | 2 | Single | 16704 | 17119 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 21 | 2 | 3 | 21 | 6 | 8 | 6 |
55.0 | No | Travel_Rarely | NaN | Research & Development | 2.0 | 4 | Technical Degree | 1 | 1873 | 2 | Male | 98 | 2 | 1 | Research Scientist | 4 | Married | 2662 | 7975 | 8 | Y | No | 20 | 4 | 2 | 80 | 1 | 19 | 2 | 4 | 5 | 2 | 0 | 4 |
NaN | Yes | Travel_Frequently | 1009.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1111 | 1 | Male | 45 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2596 | 7160 | 1 | Y | No | 15 | 3 | 1 | 80 | 2 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
22.0 | No | Travel_Rarely | 1256.0 | Research & Development | 19.0 | 1 | Medical | 1 | 217 | 3 | Male | 80 | 3 | 1 | Research Scientist | 4 | Married | 2323 | 11992 | 1 | Y | No | 24 | 4 | 1 | 80 | 2 | 2 | 6 | 3 | 2 | 2 | 2 | 2 |
56.0 | No | Travel_Rarely | 206.0 | Human Resources | 8.0 | 4 | Life Sciences | 1 | 1338 | 4 | Male | 99 | 3 | 5 | Manager | 2 | Single | 19717 | 4022 | 6 | Y | No | 14 | 3 | 1 | 80 | 0 | 36 | 4 | 3 | 7 | 3 | 7 | 7 |
NaN | Yes | Travel_Frequently | 880.0 | Sales | 12.0 | 4 | Other | 1 | 1667 | 4 | Male | 36 | 3 | 2 | Sales Executive | 4 | Single | 4581 | 10414 | 3 | Y | Yes | 24 | 4 | 1 | 80 | 0 | 13 | 2 | 4 | 11 | 9 | 6 | 7 |
49.0 | No | Travel_Rarely | 174.0 | Sales | 8.0 | 4 | Technical Degree | 1 | 1138 | 4 | Male | 56 | 2 | 4 | Sales Executive | 2 | Married | 13120 | 11879 | 6 | Y | No | 17 | 3 | 2 | 80 | 1 | 22 | 3 | 3 | 9 | 8 | 2 | 3 |
24.0 | No | Travel_Frequently | 897.0 | Human Resources | 10.0 | 3 | Medical | 1 | 1746 | 1 | Male | 59 | 3 | 1 | Human Resources | 4 | Married | 2145 | 2097 | 0 | Y | No | 14 | 3 | 4 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 2 | 1 |
46.0 | No | Travel_Rarely | 150.0 | Research & Development | 2.0 | 4 | Technical Degree | 1 | 1228 | 4 | Male | 60 | 3 | 2 | Manufacturing Director | 4 | Divorced | 7379 | 17433 | 2 | Y | No | 11 | 3 | 3 | 80 | 1 | 12 | 3 | 2 | 6 | 3 | 1 | 4 |
45.0 | Yes | Travel_Rarely | 1449.0 | Sales | 2.0 | 3 | Marketing | 1 | 1277 | 1 | Female | 94 | 1 | 5 | Manager | 2 | Single | 18824 | 2493 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 0 | 26 | 2 | 3 | 24 | 10 | 1 | 11 |
53.0 | No | Travel_Rarely | 1436.0 | Sales | 6.0 | 2 | Marketing | 1 | 205 | 2 | Male | 34 | 3 | 2 | Sales Representative | 3 | Married | 2306 | 16047 | 2 | Y | Yes | 20 | 4 | 4 | 80 | 1 | 13 | 3 | 1 | 7 | 7 | 4 | 5 |
45.0 | No | Travel_Rarely | 556.0 | Research & Development | 25.0 | 2 | Life Sciences | 1 | 1888 | 2 | Female | 93 | 2 | 2 | Manufacturing Director | 4 | Married | 5906 | 23888 | 0 | Y | No | 13 | 3 | 4 | 80 | 2 | 10 | 2 | 2 | 9 | 8 | 3 | 8 |
33.0 | No | Travel_Frequently | 1296.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 692 | 3 | Male | 30 | 3 | 2 | Healthcare Representative | 4 | Divorced | 7725 | 5335 | 3 | Y | No | 23 | 4 | 3 | 80 | 1 | 15 | 2 | 1 | 13 | 11 | 4 | 7 |
46.0 | No | Travel_Rarely | 563.0 | Sales | 1.0 | 4 | Life Sciences | 1 | 1602 | 4 | Male | 56 | 4 | 4 | Manager | 1 | Single | 17567 | 3156 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 27 | 5 | 1 | 26 | 0 | 0 | 12 |
NaN | No | Travel_Rarely | NaN | Research & Development | 27.0 | 4 | Life Sciences | 1 | 1728 | 4 | Male | 49 | 3 | 2 | Manufacturing Director | 3 | Married | 6883 | 5151 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 17 | 3 | 3 | 7 | 7 | 0 | 7 |
34.0 | No | Travel_Rarely | 665.0 | Research & Development | 6.0 | 4 | Other | 1 | 138 | 1 | Female | 41 | 3 | 2 | Research Scientist | 3 | Single | 4809 | 12482 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 16 | 3 | 3 | 16 | 13 | 2 | 10 |
24.0 | No | Non-Travel | 1092.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 812 | 3 | Male | 60 | 2 | 1 | Laboratory Technician | 2 | Divorced | 2694 | 26551 | 1 | Y | No | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 185.0 | Research & Development | 23.0 | 4 | Medical | 1 | 1826 | 2 | Male | 91 | 1 | 1 | Laboratory Technician | 3 | Married | 2705 | 9696 | 0 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 2 | 4 | 5 | 4 | 0 | 3 |
45.0 | No | Non-Travel | 336.0 | Sales | 26.0 | 3 | Marketing | 1 | 1612 | 1 | Male | 52 | 2 | 2 | Sales Executive | 1 | Married | 4385 | 24162 | 1 | Y | No | 15 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 4 | 5 |
NaN | No | Non-Travel | 1097.0 | Research & Development | 11.0 | 2 | Medical | 1 | 70 | 3 | Male | 79 | 2 | 3 | Healthcare Representative | 1 | Married | 9884 | 8302 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 10 | 3 | 3 | 4 | 0 | 2 | 3 |
NaN | No | Travel_Rarely | 662.0 | Sales | 1.0 | 5 | Marketing | 1 | 204 | 3 | Male | 94 | 3 | 3 | Sales Executive | 2 | Married | 7295 | 11439 | 1 | Y | No | 13 | 3 | 1 | 80 | 2 | 10 | 3 | 3 | 10 | 8 | 0 | 6 |
41.0 | No | Travel_Rarely | 645.0 | Sales | 1.0 | 3 | Marketing | 1 | 534 | 2 | Male | 49 | 4 | 3 | Sales Executive | 1 | Married | 8392 | 19566 | 1 | Y | No | 16 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 7 |
33.0 | No | Travel_Rarely | NaN | Research & Development | 15.0 | 2 | Medical | 1 | 2009 | 2 | Female | 95 | 3 | 2 | Healthcare Representative | 4 | Married | 4878 | 21653 | 0 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 6 | 3 | 9 | 7 | 8 | 1 |
36.0 | No | Travel_Frequently | 635.0 | Research & Development | 18.0 | 1 | Medical | 1 | 286 | 2 | Female | 73 | 3 | 1 | Laboratory Technician | 4 | Single | 2153 | 7703 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 1 | 1 | 7 |
23.0 | No | Travel_Rarely | 571.0 | Research & Development | 12.0 | 2 | Other | 1 | 1982 | 4 | Male | 78 | 3 | 1 | Laboratory Technician | 4 | Single | 2647 | 13672 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 5 | 6 | 4 | 5 | 2 | 1 | 4 |
29.0 | No | Travel_Rarely | NaN | Research & Development | NaN | 1 | Medical | 1 | 1586 | 2 | Male | 87 | 3 | 1 | Laboratory Technician | 1 | Single | 4723 | 16213 | 1 | Y | Yes | 18 | 3 | 4 | 80 | 0 | 10 | 3 | 3 | 10 | 9 | 1 | 5 |
38.0 | No | Travel_Frequently | 216.0 | Research & Development | 23.0 | 3 | Life Sciences | 1 | 12 | 4 | Male | 44 | 2 | 3 | Manufacturing Director | 3 | Single | 9526 | 8787 | 0 | Y | No | 21 | 4 | 2 | 80 | 0 | 10 | 2 | 3 | 9 | 7 | 1 | 8 |
31.0 | No | Travel_Rarely | 182.0 | Research & Development | 8.0 | 5 | Life Sciences | 1 | 1430 | 1 | Female | 93 | 3 | 4 | Research Director | 2 | Single | 16422 | 8847 | 3 | Y | No | 11 | 3 | 3 | 80 | 0 | 9 | 3 | 4 | 3 | 2 | 1 | 0 |
43.0 | No | Travel_Frequently | 1422.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 1849 | 1 | Male | 92 | 3 | 2 | Sales Executive | 4 | Married | 5675 | 19246 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 7 | 5 | 3 | 7 | 7 | 7 | 7 |
24.0 | Yes | Travel_Frequently | 381.0 | Research & Development | 9.0 | 3 | Medical | 1 | 1494 | 2 | Male | 89 | 3 | 1 | Laboratory Technician | 1 | Single | 3172 | 16998 | 2 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 |
45.0 | No | Travel_Rarely | 561.0 | Sales | 2.0 | 3 | Other | 1 | 606 | 4 | Male | 61 | 3 | 2 | Sales Executive | 2 | Married | 4805 | 16177 | 0 | Y | No | 19 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 8 | 7 | 3 | 7 |
42.0 | No | Travel_Rarely | 916.0 | Research & Development | 17.0 | 2 | Life Sciences | 1 | 347 | 4 | Female | 82 | 4 | 2 | Research Scientist | 1 | Single | 6545 | 23016 | 3 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 1 | 3 | 3 | 2 | 0 | 2 |
31.0 | No | Travel_Rarely | 1062.0 | Research & Development | 24.0 | 3 | Medical | 1 | 1252 | 3 | Female | 96 | 2 | 2 | Healthcare Representative | 1 | Single | 6812 | 17198 | 1 | Y | No | 19 | 3 | 2 | 80 | 0 | 10 | 2 | 3 | 10 | 9 | 1 | 8 |
NaN | No | Travel_Rarely | 1181.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1799 | 3 | Male | 82 | 3 | 1 | Research Scientist | 4 | Married | 2044 | 5531 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 5 | 6 | 4 | 5 | 3 | 0 | 3 |
32.0 | No | Travel_Frequently | 116.0 | Research & Development | 13.0 | 3 | Other | 1 | 1234 | 3 | Female | 77 | 2 | 1 | Laboratory Technician | 2 | Married | 2743 | 7331 | 1 | Y | No | 20 | 4 | 3 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
NaN | No | Travel_Rarely | 157.0 | Research & Development | 1.0 | 3 | Medical | 1 | 1952 | 3 | Male | 95 | 3 | 1 | Laboratory Technician | 1 | Single | 2867 | 20006 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 8 | 6 | 2 | 7 | 7 | 7 | 6 |
30.0 | No | Travel_Frequently | 1012.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 861 | 2 | Male | 75 | 2 | 1 | Research Scientist | 4 | Divorced | 3761 | 2373 | 9 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 3 | 2 | 5 | 4 | 0 | 3 |
23.0 | No | Travel_Rarely | 1309.0 | Research & Development | 26.0 | 1 | Life Sciences | 1 | 465 | 3 | Male | 83 | 3 | 1 | Research Scientist | 4 | Divorced | 2904 | 16092 | 1 | Y | No | 12 | 3 | 3 | 80 | 2 | 4 | 2 | 2 | 4 | 2 | 0 | 2 |
38.0 | No | Travel_Rarely | 833.0 | Research & Development | 18.0 | 3 | Medical | 1 | 1766 | 2 | Male | 60 | 1 | 2 | Healthcare Representative | 4 | Married | 5811 | 24539 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 15 | 2 | 3 | 1 | 0 | 1 | 0 |
32.0 | No | Travel_Rarely | 128.0 | Research & Development | 2.0 | 1 | Technical Degree | 1 | 362 | 4 | Male | 84 | 2 | 2 | Laboratory Technician | 1 | Single | 2176 | 19737 | 4 | Y | No | 13 | 3 | 4 | 80 | 0 | 9 | 5 | 3 | 6 | 2 | 0 | 4 |
40.0 | No | Travel_Frequently | 1395.0 | Research & Development | 26.0 | 3 | Medical | 1 | 202 | 2 | Female | 54 | 3 | 2 | Research Scientist | 2 | Divorced | 5605 | 8504 | 1 | Y | No | 11 | 3 | 1 | 80 | 1 | 20 | 2 | 3 | 20 | 7 | 2 | 13 |
37.0 | No | Travel_Rarely | 446.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 635 | 2 | Female | 65 | 3 | 2 | Manufacturing Director | 2 | Married | 6447 | 15701 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 8 | 2 | 2 | 6 | 5 | 4 | 3 |
24.0 | No | Non-Travel | 1269.0 | Research & Development | 4.0 | 1 | Life Sciences | 1 | 888 | 1 | Male | 46 | 2 | 1 | Laboratory Technician | 4 | Married | 3162 | 10778 | 0 | Y | No | 17 | 3 | 4 | 80 | 0 | 6 | 2 | 2 | 5 | 2 | 3 | 4 |
40.0 | No | Travel_Rarely | 1322.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 2048 | 3 | Male | 52 | 2 | 1 | Research Scientist | 3 | Single | 2809 | 2725 | 2 | Y | No | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 2 | 2 | 2 |
36.0 | No | Non-Travel | 1351.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 1949 | 1 | Male | 66 | 4 | 1 | Laboratory Technician | 2 | Married | 2810 | 9238 | 1 | Y | No | 22 | 4 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 0 | 2 |
23.0 | No | Travel_Rarely | 650.0 | Research & Development | 9.0 | 1 | Medical | 1 | 758 | 2 | Male | 37 | 3 | 1 | Laboratory Technician | 1 | Married | 2500 | 4344 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 5 | 2 | 4 | 4 | 3 | 0 | 2 |
44.0 | Yes | Travel_Rarely | 621.0 | Research & Development | 15.0 | 3 | Medical | 1 | 1295 | 1 | Female | 73 | 3 | 3 | Healthcare Representative | 4 | Married | 7978 | 14075 | 1 | Y | No | 11 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 10 | 7 | 0 | 5 |
42.0 | No | Travel_Rarely | 622.0 | Research & Development | 2.0 | 4 | Life Sciences | 1 | 659 | 3 | Female | 81 | 3 | 2 | Healthcare Representative | 4 | Married | 4089 | 5718 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 4 | 3 | 10 | 2 | 2 | 2 |
29.0 | No | Travel_Rarely | 352.0 | Human Resources | 6.0 | 1 | Medical | 1 | 1865 | 4 | Male | 87 | 2 | 1 | Human Resources | 2 | Married | 2804 | 15434 | 1 | Y | No | 11 | 3 | 4 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
40.0 | Yes | Travel_Rarely | 1329.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 1649 | 1 | Male | 73 | 3 | 1 | Laboratory Technician | 1 | Single | 2166 | 3339 | 3 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 10 | 3 | 1 | 4 | 2 | 0 | 3 |
30.0 | No | Travel_Rarely | 1427.0 | Research & Development | 2.0 | 1 | Medical | 1 | 198 | 2 | Male | 35 | 2 | 1 | Laboratory Technician | 4 | Single | 2720 | 11162 | 0 | Y | No | 13 | 3 | 4 | 80 | 0 | 6 | 3 | 3 | 5 | 3 | 1 | 2 |
30.0 | No | Travel_Rarely | 1082.0 | Sales | 12.0 | 3 | Technical Degree | 1 | 533 | 2 | Female | 83 | 3 | 2 | Sales Executive | 3 | Single | 6577 | 19558 | 0 | Y | No | 11 | 3 | 2 | 80 | 0 | 6 | 6 | 3 | 5 | 4 | 4 | 4 |
42.0 | No | Non-Travel | 495.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1334 | 3 | Male | 37 | 3 | 4 | Manager | 3 | Married | 17861 | 26582 | 0 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 21 | 3 | 2 | 20 | 8 | 2 | 10 |
42.0 | No | Travel_Rarely | 419.0 | Sales | 12.0 | 4 | Marketing | 1 | 1943 | 2 | Male | 77 | 3 | 2 | Sales Executive | 4 | Divorced | 5087 | 2900 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 14 | 4 | 3 | 0 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 821.0 | Sales | NaN | 4 | Medical | 1 | 916 | 1 | Male | 98 | 3 | 2 | Sales Executive | 4 | Single | 4908 | 24252 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 4 | 3 | 3 | 4 | 2 | 0 | 2 |
NaN | Yes | Travel_Rarely | 471.0 | Research & Development | 24.0 | 3 | Technical Degree | 1 | 622 | 3 | Male | 66 | 1 | 1 | Laboratory Technician | 4 | Single | 2340 | 23213 | 1 | Y | Yes | 18 | 3 | 2 | 80 | 0 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
40.0 | No | Travel_Rarely | 989.0 | Research & Development | 4.0 | 1 | Medical | 1 | 253 | 4 | Female | 46 | 3 | 5 | Manager | 3 | Married | 19033 | 6499 | 1 | Y | No | 14 | 3 | 2 | 80 | 1 | 21 | 2 | 3 | 20 | 8 | 9 | 9 |
49.0 | No | Travel_Rarely | 722.0 | Research & Development | 25.0 | 4 | Life Sciences | 1 | 1617 | 3 | Female | 84 | 3 | 1 | Laboratory Technician | 1 | Married | 3211 | 22102 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 2 | 9 | 6 | 1 | 4 |
NaN | No | Travel_Rarely | 390.0 | Research & Development | 17.0 | 4 | Medical | 1 | 1718 | 4 | Male | 62 | 1 | 1 | Laboratory Technician | 3 | Married | 2305 | 6217 | 1 | Y | No | 15 | 3 | 3 | 80 | 3 | 3 | 3 | 4 | 3 | 2 | 0 | 2 |
55.0 | Yes | Travel_Rarely | 436.0 | Sales | 2.0 | 1 | Medical | 1 | 842 | 3 | Male | 37 | 3 | 2 | Sales Executive | 4 | Single | 5160 | 21519 | 4 | Y | No | 16 | 3 | 3 | 80 | 0 | 12 | 3 | 2 | 9 | 7 | 7 | 3 |
30.0 | No | Travel_Rarely | 438.0 | Research & Development | 18.0 | 3 | Life Sciences | 1 | 194 | 1 | Female | 75 | 3 | 1 | Research Scientist | 3 | Single | 2632 | 23910 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 4 | 2 | 5 | 4 | 0 | 4 |
50.0 | No | Non-Travel | 145.0 | Sales | 1.0 | 3 | Life Sciences | 1 | 1040 | 4 | Female | 95 | 3 | 2 | Sales Executive | 3 | Married | 6347 | 24920 | 0 | Y | No | 12 | 3 | 1 | 80 | 1 | 19 | 3 | 3 | 18 | 7 | 0 | 13 |
NaN | Yes | Travel_Frequently | 662.0 | Sales | 18.0 | 4 | Marketing | 1 | 1380 | 4 | Female | 67 | 3 | 2 | Sales Executive | 3 | Married | 4614 | 23288 | 0 | Y | Yes | 18 | 3 | 3 | 80 | 1 | 5 | 0 | 2 | 4 | 2 | 3 | 2 |
42.0 | No | Non-Travel | 926.0 | Research & Development | 21.0 | 2 | Medical | 1 | 270 | 3 | Female | 36 | 3 | 2 | Manufacturing Director | 3 | Divorced | 5265 | 16439 | 2 | Y | No | 16 | 3 | 2 | 80 | 1 | 11 | 5 | 3 | 5 | 3 | 0 | 2 |
33.0 | No | Travel_Rarely | 117.0 | Research & Development | 9.0 | 3 | Medical | 1 | 1238 | 1 | Male | 60 | 3 | 1 | Research Scientist | 4 | Married | 2781 | 6311 | 0 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 5 | 3 | 14 | 10 | 4 | 10 |
50.0 | No | Travel_Rarely | 797.0 | Research & Development | 4.0 | 1 | Life Sciences | 1 | 385 | 1 | Male | 96 | 3 | 5 | Research Director | 2 | Divorced | 19144 | 15815 | 3 | Y | No | 14 | 3 | 1 | 80 | 2 | 28 | 4 | 2 | 10 | 4 | 1 | 6 |
NaN | Yes | Travel_Rarely | 950.0 | Sales | 4.0 | 4 | Marketing | 1 | 401 | 4 | Male | 48 | 2 | 2 | Sales Executive | 4 | Single | 5828 | 8450 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 0 | 8 | 0 | 3 | 8 | 7 | 7 | 4 |
29.0 | Yes | Travel_Rarely | 1092.0 | Research & Development | 1.0 | 4 | Medical | 1 | 2027 | 1 | Male | 36 | 3 | 1 | Research Scientist | 4 | Married | 4787 | 26124 | 9 | Y | Yes | 14 | 3 | 2 | 80 | 3 | 4 | 3 | 4 | 2 | 2 | 2 | 2 |
39.0 | No | Travel_Frequently | 1218.0 | Research & Development | 1.0 | 1 | Life Sciences | 1 | 531 | 2 | Male | 52 | 3 | 5 | Manager | 3 | Divorced | 19197 | 8213 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 21 | 3 | 3 | 21 | 8 | 1 | 6 |
56.0 | Yes | Travel_Rarely | 441.0 | Research & Development | 14.0 | 4 | Life Sciences | 1 | 161 | 2 | Female | 72 | 3 | 1 | Research Scientist | 2 | Married | 4963 | 4510 | 9 | Y | Yes | 18 | 3 | 1 | 80 | 3 | 7 | 2 | 3 | 5 | 4 | 4 | 3 |
55.0 | No | Travel_Rarely | 1441.0 | Research & Development | 22.0 | 3 | Technical Degree | 1 | 1694 | 1 | Male | 94 | 2 | 1 | Research Scientist | 2 | Divorced | 3537 | 23737 | 5 | Y | No | 12 | 3 | 4 | 80 | 1 | 8 | 1 | 3 | 4 | 2 | 1 | 2 |
34.0 | No | Travel_Frequently | 878.0 | Research & Development | 10.0 | 4 | Medical | 1 | 277 | 4 | Male | 43 | 3 | 1 | Research Scientist | 3 | Divorced | 3815 | 5972 | 1 | Y | Yes | 17 | 3 | 4 | 80 | 1 | 5 | 4 | 4 | 5 | 3 | 2 | 0 |
NaN | No | Travel_Rarely | 528.0 | Human Resources | 8.0 | 4 | Technical Degree | 1 | 1164 | 3 | Male | 100 | 3 | 1 | Human Resources | 3 | Single | 4323 | 7108 | 1 | Y | No | 17 | 3 | 2 | 80 | 0 | 6 | 2 | 1 | 5 | 4 | 1 | 4 |
33.0 | No | Travel_Rarely | 832.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 338 | 3 | Female | 63 | 2 | 1 | Research Scientist | 4 | Married | 2911 | 14776 | 1 | Y | No | 13 | 3 | 3 | 80 | 1 | 2 | 2 | 2 | 2 | 2 | 0 | 2 |
31.0 | Yes | Travel_Frequently | 754.0 | Sales | 26.0 | 4 | Marketing | 1 | 1967 | 1 | Male | 63 | 3 | 2 | Sales Executive | 4 | Married | 5617 | 21075 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 10 | 7 | 0 | 8 |
NaN | No | Non-Travel | 1103.0 | Research & Development | 16.0 | 3 | Medical | 1 | 1947 | 3 | Male | 49 | 3 | 1 | Research Scientist | 3 | Single | 2144 | 2122 | 1 | Y | No | 14 | 3 | 3 | 80 | 0 | 5 | 3 | 2 | 5 | 3 | 1 | 4 |
18.0 | Yes | Travel_Frequently | 544.0 | Sales | NaN | 2 | Medical | 1 | 1624 | 2 | Female | 70 | 3 | 1 | Sales Representative | 4 | Single | 1569 | 18420 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 |
36.0 | No | Travel_Rarely | 164.0 | Sales | 2.0 | 2 | Medical | 1 | 513 | 2 | Male | 61 | 2 | 3 | Sales Executive | 3 | Married | 7596 | 3809 | 1 | Y | No | 13 | 3 | 2 | 80 | 2 | 10 | 2 | 3 | 10 | 9 | 9 | 0 |
30.0 | No | Travel_Rarely | 1092.0 | Research & Development | 10.0 | 3 | Medical | 1 | 1816 | 1 | Female | 64 | 3 | 3 | Manufacturing Director | 3 | Single | 9667 | 2739 | 9 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 3 | 7 | 7 | 0 | 2 |
45.0 | No | Travel_Rarely | 1457.0 | Research & Development | 7.0 | 3 | Medical | 1 | 1195 | 1 | Female | 83 | 3 | 1 | Research Scientist | 3 | Married | 4477 | 20100 | 4 | Y | Yes | 19 | 3 | 3 | 80 | 1 | 7 | 2 | 2 | 3 | 2 | 0 | 2 |
54.0 | No | Travel_Rarely | 1147.0 | Sales | NaN | 3 | Marketing | 1 | 303 | 4 | Female | 52 | 3 | 2 | Sales Executive | 1 | Married | 5940 | 17011 | 2 | Y | No | 14 | 3 | 4 | 80 | 1 | 16 | 4 | 3 | 6 | 2 | 0 | 5 |
32.0 | No | Travel_Frequently | 379.0 | Sales | NaN | 2 | Life Sciences | 1 | 889 | 2 | Male | 48 | 3 | 2 | Sales Executive | 2 | Married | 6524 | 8891 | 1 | Y | No | 14 | 3 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 8 | 5 | 3 |
49.0 | No | Travel_Frequently | 279.0 | Research & Development | 8.0 | 1 | Life Sciences | 1 | 2 | 3 | Male | 61 | 2 | 2 | Research Scientist | 2 | Married | 5130 | 24907 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 10 | 3 | 3 | 10 | 7 | 1 | 7 |
54.0 | No | Non-Travel | 142.0 | Human Resources | 26.0 | 3 | Human Resources | 1 | 148 | 4 | Female | 30 | 4 | 4 | Manager | 4 | Single | 17328 | 13871 | 2 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 23 | 3 | 3 | 5 | 3 | 4 | 4 |
NaN | No | Travel_Rarely | 1219.0 | Sales | 18.0 | 3 | Medical | 1 | 975 | 3 | Female | 86 | 3 | 2 | Sales Executive | 3 | Married | 4601 | 6179 | 1 | Y | No | 16 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 2 | 1 | 0 |
31.0 | No | Travel_Rarely | 1276.0 | Research & Development | 2.0 | 1 | Medical | 1 | 1974 | 4 | Female | 59 | 1 | 1 | Laboratory Technician | 4 | Divorced | 1129 | 17536 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 3 | 1 | 4 | 3 | 1 | 0 | 0 | 0 |
41.0 | No | Non-Travel | 256.0 | Sales | 10.0 | 2 | Medical | 1 | 1329 | 3 | Male | 40 | 1 | 2 | Sales Executive | 2 | Single | 6151 | 22074 | 1 | Y | No | 13 | 3 | 1 | 80 | 0 | 19 | 4 | 3 | 19 | 2 | 11 | 9 |
37.0 | Yes | Travel_Rarely | NaN | Research & Development | 10.0 | 4 | Medical | 1 | 1809 | 4 | Male | 58 | 3 | 2 | Manufacturing Director | 1 | Single | 4213 | 4992 | 1 | Y | No | 15 | 3 | 2 | 80 | 0 | 10 | 4 | 1 | 10 | 3 | 0 | 8 |
32.0 | Yes | Travel_Rarely | 414.0 | Sales | 2.0 | 4 | Marketing | 1 | 1862 | 3 | Male | 82 | 2 | 2 | Sales Executive | 2 | Single | 9907 | 26186 | 7 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 7 | 3 | 2 | 2 | 2 | 2 | 2 |
42.0 | No | Travel_Frequently | 1474.0 | Research & Development | NaN | 2 | Other | 1 | 591 | 2 | Male | 97 | 3 | 1 | Laboratory Technician | 3 | Married | 2093 | 9260 | 4 | Y | No | 17 | 3 | 4 | 80 | 1 | 8 | 4 | 3 | 2 | 2 | 2 | 0 |
NaN | Yes | Travel_Rarely | 329.0 | Research & Development | 24.0 | 3 | Medical | 1 | 1604 | 3 | Male | 51 | 3 | 1 | Laboratory Technician | 2 | Married | 2408 | 7324 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 3 | 1 | 3 | 3 | 1 | 1 | 0 | 0 |
38.0 | No | Travel_Frequently | 594.0 | Research & Development | 2.0 | 2 | Medical | 1 | 1760 | 3 | Female | 75 | 2 | 1 | Laboratory Technician | 2 | Married | 2468 | 15963 | 4 | Y | No | 14 | 3 | 2 | 80 | 1 | 9 | 4 | 2 | 6 | 1 | 0 | 5 |
21.0 | Yes | Travel_Rarely | 1427.0 | Research & Development | 18.0 | 1 | Other | 1 | 923 | 4 | Female | 65 | 3 | 1 | Research Scientist | 4 | Single | 2693 | 8870 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 219.0 | Research & Development | 16.0 | 2 | Other | 1 | 1886 | 4 | Female | 44 | 2 | 2 | Manufacturing Director | 2 | Married | 4788 | 25388 | 0 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 0 | 2 |
31.0 | Yes | Travel_Rarely | 1079.0 | Sales | 16.0 | 4 | Marketing | 1 | 1761 | 1 | Male | 70 | 3 | 3 | Sales Executive | 3 | Married | 8161 | 19002 | 2 | Y | No | 13 | 3 | 1 | 80 | 3 | 10 | 2 | 3 | 1 | 0 | 0 | 0 |
40.0 | No | Travel_Rarely | 750.0 | Research & Development | 12.0 | 3 | Life Sciences | 1 | 1829 | 2 | Female | 47 | 3 | 2 | Healthcare Representative | 1 | Divorced | 4448 | 10748 | 2 | Y | No | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 7 | 4 | 7 | 7 |
52.0 | Yes | Travel_Rarely | 723.0 | Research & Development | 8.0 | 4 | Medical | 1 | 433 | 3 | Male | 85 | 2 | 2 | Research Scientist | 2 | Married | 4941 | 17747 | 2 | Y | No | 15 | 3 | 1 | 80 | 0 | 11 | 3 | 2 | 8 | 2 | 7 | 7 |
37.0 | No | Travel_Frequently | 1231.0 | Sales | 21.0 | 2 | Medical | 1 | 900 | 3 | Female | 54 | 3 | 1 | Sales Representative | 4 | Married | 2973 | 21222 | 5 | Y | No | 15 | 3 | 2 | 80 | 1 | 10 | 3 | 3 | 5 | 4 | 0 | 0 |
31.0 | Yes | Non-Travel | 335.0 | Research & Development | 9.0 | 2 | Medical | 1 | 991 | 3 | Male | 46 | 2 | 1 | Research Scientist | 1 | Single | 2321 | 10322 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 4 | 0 | 3 | 3 | 2 | 1 | 2 |
33.0 | No | Travel_Rarely | 867.0 | Research & Development | 8.0 | 4 | Life Sciences | 1 | 1798 | 4 | Male | 90 | 4 | 1 | Research Scientist | 1 | Married | 3143 | 6076 | 6 | Y | No | 19 | 3 | 2 | 80 | 1 | 14 | 1 | 3 | 10 | 8 | 7 | 6 |
18.0 | No | Non-Travel | 1124.0 | Research & Development | 1.0 | 3 | Life Sciences | 1 | 1368 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 4 | Single | 1611 | 19305 | 1 | Y | No | 15 | 3 | 3 | 80 | 0 | 0 | 5 | 4 | 0 | 0 | 0 | 0 |
52.0 | No | Travel_Frequently | 890.0 | Research & Development | 25.0 | 4 | Medical | 1 | 867 | 3 | Female | 81 | 2 | 4 | Manufacturing Director | 4 | Married | 13826 | 19028 | 3 | Y | No | 22 | 4 | 3 | 80 | 0 | 31 | 3 | 3 | 9 | 8 | 0 | 0 |
42.0 | No | Travel_Frequently | 1271.0 | Research & Development | 2.0 | 1 | Medical | 1 | 875 | 2 | Male | 35 | 3 | 1 | Research Scientist | 4 | Single | 2515 | 9068 | 5 | Y | Yes | 14 | 3 | 4 | 80 | 0 | 8 | 2 | 3 | 2 | 1 | 2 | 2 |
27.0 | No | Travel_Rarely | 1054.0 | Research & Development | 8.0 | 3 | Medical | 1 | 1751 | 3 | Female | 67 | 3 | 1 | Research Scientist | 4 | Single | 3445 | 6152 | 1 | Y | No | 11 | 3 | 3 | 80 | 0 | 6 | 5 | 2 | 6 | 2 | 1 | 4 |
37.0 | No | Travel_Rarely | 161.0 | Research & Development | 10.0 | 3 | Life Sciences | 1 | 2017 | 3 | Female | 42 | 4 | 3 | Research Director | 4 | Married | 13744 | 15471 | 1 | Y | Yes | 25 | 4 | 1 | 80 | 1 | 16 | 2 | 3 | 16 | 11 | 6 | 8 |
49.0 | No | Travel_Rarely | 1313.0 | Sales | 11.0 | 4 | Marketing | 1 | 1757 | 4 | Female | 80 | 3 | 2 | Sales Executive | 4 | Single | 4507 | 8191 | 3 | Y | No | 12 | 3 | 3 | 80 | 0 | 8 | 1 | 4 | 5 | 1 | 0 | 4 |
41.0 | No | Travel_Rarely | 337.0 | Sales | 8.0 | 3 | Marketing | 1 | 1909 | 3 | Female | 54 | 3 | 2 | Sales Executive | 2 | Married | 4393 | 26841 | 5 | Y | No | 21 | 4 | 3 | 80 | 1 | 14 | 3 | 3 | 5 | 4 | 1 | 4 |
37.0 | No | Travel_Rarely | 309.0 | Sales | 10.0 | 4 | Life Sciences | 1 | 1105 | 4 | Female | 88 | 2 | 2 | Sales Executive | 4 | Divorced | 6694 | 24223 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 3 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
29.0 | Yes | Travel_Rarely | 341.0 | Sales | 1.0 | 3 | Medical | 1 | 896 | 2 | Female | 48 | 2 | 1 | Sales Representative | 3 | Divorced | 2800 | 23522 | 6 | Y | Yes | 19 | 3 | 3 | 80 | 3 | 5 | 3 | 3 | 3 | 2 | 0 | 2 |
31.0 | Yes | Travel_Frequently | 667.0 | Sales | 1.0 | 4 | Life Sciences | 1 | 1427 | 2 | Female | 50 | 1 | 1 | Sales Representative | 3 | Single | 1359 | 16154 | 1 | Y | No | 12 | 3 | 2 | 80 | 0 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
53.0 | No | Travel_Rarely | 346.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 769 | 4 | Male | 86 | 3 | 2 | Laboratory Technician | 4 | Single | 2450 | 10919 | 2 | Y | No | 17 | 3 | 4 | 80 | 0 | 19 | 4 | 3 | 2 | 2 | 2 | 2 |
38.0 | No | Travel_Rarely | 1333.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 950 | 4 | Female | 80 | 3 | 3 | Research Director | 1 | Married | 13582 | 16292 | 1 | Y | No | 13 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 12 | 5 | 11 |
37.0 | No | Travel_Rarely | 571.0 | Research & Development | 10.0 | 1 | Life Sciences | 1 | 802 | 4 | Female | 82 | 3 | 1 | Research Scientist | 1 | Divorced | 2782 | 19905 | 0 | Y | Yes | 13 | 3 | 2 | 80 | 2 | 6 | 3 | 2 | 5 | 3 | 4 | 3 |
30.0 | No | Travel_Rarely | 1288.0 | Sales | 29.0 | 4 | Technical Degree | 1 | 1568 | 3 | Male | 33 | 3 | 3 | Sales Executive | 2 | Married | 9250 | 17799 | 3 | Y | No | 12 | 3 | 2 | 80 | 1 | 9 | 3 | 3 | 4 | 2 | 1 | 3 |
41.0 | No | Travel_Rarely | 548.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 1772 | 3 | Male | 94 | 3 | 1 | Laboratory Technician | 1 | Divorced | 2289 | 20520 | 1 | Y | No | 20 | 4 | 2 | 80 | 2 | 5 | 2 | 3 | 5 | 3 | 0 | 4 |
36.0 | No | Travel_Rarely | 1040.0 | Research & Development | NaN | 2 | Life Sciences | 1 | 1664 | 4 | Male | 79 | 4 | 2 | Healthcare Representative | 1 | Divorced | 6842 | 26308 | 6 | Y | No | 20 | 4 | 1 | 80 | 1 | 13 | 3 | 3 | 5 | 4 | 0 | 4 |
34.0 | No | Travel_Rarely | 1442.0 | Research & Development | 9.0 | 3 | Medical | 1 | 717 | 4 | Female | 46 | 2 | 3 | Healthcare Representative | 2 | Single | 8621 | 17654 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 9 | 3 | 4 | 8 | 7 | 7 | 7 |
NaN | No | Travel_Rarely | 660.0 | Sales | 7.0 | 1 | Life Sciences | 1 | 1492 | 4 | Male | 76 | 3 | 1 | Sales Representative | 3 | Married | 2404 | 16192 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
NaN | Yes | Travel_Rarely | 654.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 741 | 1 | Female | 67 | 1 | 1 | Research Scientist | 2 | Single | 2216 | 3872 | 7 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 10 | 4 | 3 | 7 | 7 | 3 | 7 |
47.0 | No | Travel_Rarely | 1225.0 | Sales | 2.0 | 4 | Life Sciences | 1 | 1676 | 2 | Female | 47 | 4 | 4 | Manager | 2 | Divorced | 15972 | 21086 | 6 | Y | No | 14 | 3 | 3 | 80 | 3 | 29 | 2 | 3 | 3 | 2 | 1 | 2 |
NaN | Yes | Non-Travel | 265.0 | Sales | 29.0 | 2 | Medical | 1 | 1037 | 2 | Male | 79 | 1 | 2 | Sales Executive | 1 | Single | 4969 | 21813 | 8 | Y | No | 18 | 3 | 4 | 80 | 0 | 7 | 6 | 3 | 2 | 2 | 2 | 2 |
34.0 | No | Travel_Rarely | 735.0 | Sales | NaN | 1 | Medical | 1 | 1915 | 4 | Female | 75 | 2 | 2 | Sales Executive | 4 | Married | 8103 | 16495 | 3 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 9 | 3 | 2 | 4 | 2 | 0 | 1 |
31.0 | No | Travel_Rarely | 525.0 | Sales | 6.0 | 4 | Medical | 1 | 653 | 1 | Male | 66 | 4 | 2 | Sales Executive | 4 | Divorced | 5460 | 6219 | 4 | Y | No | 22 | 4 | 4 | 80 | 2 | 13 | 4 | 4 | 7 | 7 | 5 | 7 |
54.0 | No | Travel_Rarely | 1217.0 | Research & Development | 2.0 | 4 | Technical Degree | 1 | 126 | 1 | Female | 60 | 3 | 3 | Research Director | 3 | Married | 13549 | 24001 | 9 | Y | No | 12 | 3 | 1 | 80 | 1 | 16 | 5 | 1 | 4 | 3 | 0 | 3 |
47.0 | No | Travel_Rarely | 465.0 | Research & Development | 1.0 | 3 | Technical Degree | 1 | 1438 | 1 | Male | 74 | 3 | 1 | Research Scientist | 4 | Married | 3420 | 10205 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 17 | 2 | 2 | 6 | 5 | 1 | 2 |
NaN | No | Travel_Rarely | 883.0 | Sales | 26.0 | 1 | Medical | 1 | 781 | 3 | Female | 32 | 3 | 2 | Sales Executive | 4 | Single | 6180 | 22807 | 1 | Y | No | 23 | 4 | 2 | 80 | 0 | 6 | 5 | 2 | 6 | 5 | 1 | 4 |
55.0 | No | Travel_Rarely | 478.0 | Research & Development | 2.0 | 3 | Medical | 1 | 1770 | 3 | Male | 60 | 2 | 5 | Research Director | 1 | Married | 19038 | 19805 | 8 | Y | No | 12 | 3 | 2 | 80 | 3 | 34 | 2 | 3 | 1 | 0 | 0 | 0 |
50.0 | No | Travel_Rarely | 804.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 1030 | 1 | Male | 64 | 3 | 1 | Laboratory Technician | 4 | Married | 2380 | 20165 | 4 | Y | No | 18 | 3 | 2 | 80 | 0 | 8 | 5 | 3 | 1 | 0 | 0 | 0 |
33.0 | No | Travel_Rarely | 147.0 | Human Resources | 2.0 | 3 | Human Resources | 1 | 1207 | 2 | Male | 99 | 3 | 1 | Human Resources | 3 | Married | 3600 | 8429 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 5 | 4 | 1 | 4 |
44.0 | No | Travel_Rarely | 1117.0 | Research & Development | 2.0 | 1 | Life Sciences | 1 | 1246 | 1 | Female | 72 | 4 | 1 | Research Scientist | 4 | Married | 2011 | 19982 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 10 | 5 | 3 | 10 | 5 | 7 | 7 |
48.0 | No | Travel_Rarely | 1221.0 | Sales | 7.0 | 3 | Marketing | 1 | 1466 | 3 | Male | 96 | 3 | 2 | Sales Executive | 1 | Divorced | 5486 | 24795 | 4 | Y | No | 11 | 3 | 1 | 80 | 3 | 15 | 3 | 3 | 2 | 2 | 2 | 2 |
22.0 | No | Travel_Rarely | 1136.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 284 | 4 | Male | 60 | 4 | 1 | Research Scientist | 2 | Divorced | 2328 | 12392 | 1 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 4 | 2 | 2 | 4 | 2 | 2 | 2 |
54.0 | No | Travel_Rarely | 821.0 | Research & Development | NaN | 2 | Medical | 1 | 522 | 1 | Male | 86 | 3 | 5 | Research Director | 1 | Married | 19406 | 8509 | 4 | Y | No | 11 | 3 | 3 | 80 | 1 | 24 | 4 | 2 | 4 | 2 | 1 | 2 |
34.0 | No | Travel_Frequently | 618.0 | Research & Development | NaN | 1 | Life Sciences | 1 | 1103 | 1 | Male | 45 | 3 | 2 | Healthcare Representative | 4 | Single | 7756 | 22266 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 7 | 1 | 2 | 6 | 2 | 0 | 4 |
NaN | No | Travel_Rarely | 1361.0 | Sales | 17.0 | 4 | Life Sciences | 1 | 1218 | 3 | Male | 94 | 3 | 2 | Sales Executive | 1 | Married | 8966 | 21026 | 3 | Y | Yes | 15 | 3 | 4 | 80 | 3 | 15 | 2 | 3 | 7 | 7 | 1 | 7 |
NaN | No | Travel_Rarely | 891.0 | Sales | 4.0 | 2 | Life Sciences | 1 | 527 | 2 | Female | 99 | 2 | 2 | Sales Executive | 4 | Single | 4487 | 12090 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 0 | 5 | 3 | 3 | 5 | 4 | 1 | 3 |
50.0 | No | Travel_Rarely | 1464.0 | Research & Development | 2.0 | 4 | Medical | 1 | 1061 | 2 | Male | 62 | 3 | 5 | Research Director | 3 | Married | 19237 | 12853 | 2 | Y | Yes | 11 | 3 | 4 | 80 | 1 | 29 | 2 | 2 | 8 | 1 | 7 | 7 |
NaN | No | Travel_Rarely | 482.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 1893 | 2 | Female | 90 | 2 | 1 | Research Scientist | 3 | Married | 2933 | 14908 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
32.0 | No | Travel_Rarely | 371.0 | Sales | 19.0 | 3 | Life Sciences | 1 | 1739 | 4 | Male | 80 | 1 | 3 | Sales Executive | 3 | Married | 9610 | 3840 | 3 | Y | No | 13 | 3 | 3 | 80 | 1 | 10 | 2 | 1 | 4 | 3 | 0 | 2 |
41.0 | No | Travel_Rarely | 1283.0 | Research & Development | NaN | 5 | Medical | 1 | 1448 | 2 | Male | 90 | 4 | 1 | Research Scientist | 3 | Married | 2127 | 5561 | 2 | Y | Yes | 12 | 3 | 1 | 80 | 0 | 7 | 5 | 2 | 4 | 2 | 0 | 3 |
38.0 | No | Travel_Rarely | 395.0 | Sales | 9.0 | 3 | Marketing | 1 | 893 | 2 | Male | 98 | 2 | 1 | Sales Representative | 2 | Married | 2899 | 12102 | 0 | Y | No | 19 | 3 | 4 | 80 | 1 | 3 | 3 | 3 | 2 | 2 | 1 | 2 |
NaN | No | Travel_Rarely | 760.0 | Sales | 2.0 | 4 | Marketing | 1 | 846 | 2 | Female | 81 | 3 | 2 | Sales Executive | 2 | Married | 4779 | 3698 | 1 | Y | Yes | 20 | 4 | 1 | 80 | 0 | 8 | 2 | 3 | 8 | 7 | 7 | 5 |
41.0 | No | Travel_Frequently | 1018.0 | Sales | 1.0 | 3 | Marketing | 1 | 1349 | 3 | Female | 66 | 3 | 2 | Sales Executive | 1 | Divorced | 4103 | 4297 | 0 | Y | No | 17 | 3 | 4 | 80 | 1 | 10 | 2 | 3 | 9 | 3 | 1 | 7 |
NaN | Yes | Travel_Rarely | 622.0 | Research & Development | 14.0 | 4 | Other | 1 | 1010 | 3 | Male | 39 | 2 | 1 | Laboratory Technician | 2 | Divorced | 3743 | 10074 | 1 | Y | Yes | 24 | 4 | 4 | 80 | 1 | 5 | 2 | 1 | 4 | 2 | 0 | 2 |
NaN | Yes | Travel_Rarely | 867.0 | Sales | 19.0 | 2 | Marketing | 1 | 952 | 3 | Male | 36 | 2 | 1 | Sales Representative | 2 | Married | 2413 | 18798 | 1 | Y | Yes | 18 | 3 | 3 | 80 | 3 | 1 | 2 | 3 | 1 | 0 | 0 | 0 |
58.0 | No | Travel_Rarely | 682.0 | Sales | 10.0 | 4 | Medical | 1 | 131 | 4 | Male | 37 | 3 | 4 | Sales Executive | 3 | Single | 13872 | 24409 | 0 | Y | No | 13 | 3 | 3 | 80 | 0 | 38 | 1 | 2 | 37 | 10 | 1 | 8 |
48.0 | No | Non-Travel | 1262.0 | Research & Development | 1.0 | 4 | Medical | 1 | 1116 | 1 | Male | 35 | 4 | 4 | Manager | 4 | Single | 16885 | 16154 | 2 | Y | No | 22 | 4 | 3 | 80 | 0 | 27 | 3 | 2 | 5 | 4 | 2 | 1 |
52.0 | No | Travel_Rarely | 319.0 | Research & Development | NaN | 3 | Medical | 1 | 543 | 4 | Male | 39 | 2 | 3 | Manufacturing Director | 3 | Married | 7969 | 19609 | 2 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 28 | 4 | 3 | 5 | 4 | 0 | 4 |
53.0 | No | Travel_Rarely | 238.0 | Sales | 1.0 | 1 | Medical | 1 | 682 | 4 | Female | 34 | 3 | 2 | Sales Executive | 1 | Single | 8381 | 7507 | 7 | Y | No | 20 | 4 | 4 | 80 | 0 | 18 | 2 | 4 | 14 | 7 | 8 | 10 |
49.0 | No | Travel_Rarely | 271.0 | Research & Development | NaN | 2 | Medical | 1 | 1509 | 3 | Female | 43 | 2 | 2 | Laboratory Technician | 1 | Married | 4789 | 23070 | 4 | Y | No | 25 | 4 | 1 | 80 | 1 | 10 | 3 | 3 | 3 | 2 | 1 | 2 |
NaN | Yes | Travel_Frequently | 1496.0 | Sales | 1.0 | 3 | Technical Degree | 1 | 1486 | 1 | Male | 92 | 3 | 1 | Sales Representative | 3 | Married | 2909 | 15747 | 3 | Y | No | 15 | 3 | 4 | 80 | 1 | 5 | 3 | 4 | 3 | 2 | 1 | 2 |
NaN | No | Travel_Frequently | 193.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 1296 | 4 | Male | 52 | 2 | 1 | Laboratory Technician | 4 | Married | 3867 | 14222 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 2 | 2 | 3 | 2 | 2 | 2 | 2 |
51.0 | Yes | Travel_Rarely | 1323.0 | Research & Development | 4.0 | 4 | Life Sciences | 1 | 1081 | 1 | Male | 34 | 3 | 1 | Research Scientist | 3 | Married | 2461 | 10332 | 9 | Y | Yes | 12 | 3 | 3 | 80 | 3 | 18 | 2 | 4 | 10 | 0 | 2 | 7 |
27.0 | No | Travel_Frequently | 472.0 | Research & Development | 1.0 | 1 | Technical Degree | 1 | 274 | 3 | Male | 60 | 2 | 2 | Manufacturing Director | 1 | Married | 4298 | 9679 | 5 | Y | No | 19 | 3 | 3 | 80 | 1 | 6 | 1 | 3 | 2 | 2 | 2 | 0 |
NaN | No | Travel_Rarely | 1355.0 | Human Resources | 25.0 | 1 | Life Sciences | 1 | 177 | 3 | Female | 61 | 3 | 1 | Human Resources | 3 | Married | 2942 | 8916 | 1 | Y | No | 23 | 4 | 4 | 80 | 1 | 8 | 3 | 3 | 8 | 7 | 5 | 7 |
44.0 | No | Travel_Frequently | 383.0 | Sales | 1.0 | 5 | Marketing | 1 | 1481 | 1 | Female | 79 | 3 | 2 | Sales Executive | 3 | Married | 4768 | 9282 | 7 | Y | No | 12 | 3 | 3 | 80 | 1 | 11 | 4 | 2 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 464.0 | Research & Development | 4.0 | 2 | Other | 1 | 53 | 3 | Male | 75 | 3 | 1 | Laboratory Technician | 4 | Divorced | 1951 | 10910 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
27.0 | No | Travel_Rarely | 1377.0 | Research & Development | 11.0 | 1 | Life Sciences | 1 | 1434 | 2 | Male | 91 | 3 | 1 | Laboratory Technician | 1 | Married | 2099 | 7679 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 6 | 3 | 4 | 5 | 0 | 1 | 4 |
52.0 | No | Travel_Rarely | 1323.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 316 | 3 | Female | 89 | 2 | 1 | Laboratory Technician | 4 | Single | 3212 | 3300 | 7 | Y | No | 15 | 3 | 2 | 80 | 0 | 6 | 3 | 2 | 2 | 2 | 2 | 2 |
34.0 | Yes | Non-Travel | 1362.0 | Sales | 19.0 | 3 | Marketing | 1 | 502 | 1 | Male | 67 | 4 | 2 | Sales Executive | 4 | Single | 5304 | 4652 | 8 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 9 | 3 | 2 | 5 | 2 | 0 | 4 |
NaN | Yes | Travel_Rarely | 1449.0 | Research & Development | 16.0 | 4 | Medical | 1 | 394 | 1 | Male | 45 | 3 | 1 | Laboratory Technician | 2 | Divorced | 2373 | 14180 | 2 | Y | Yes | 13 | 3 | 4 | 80 | 1 | 5 | 2 | 3 | 3 | 2 | 0 | 2 |
NaN | No | Travel_Rarely | 1349.0 | Research & Development | 23.0 | 3 | Life Sciences | 1 | 560 | 1 | Female | 90 | 3 | 1 | Research Scientist | 4 | Divorced | 2886 | 3032 | 1 | Y | No | 22 | 4 | 2 | 80 | 2 | 3 | 3 | 1 | 3 | 2 | 0 | 2 |
40.0 | No | Travel_Rarely | 555.0 | Research & Development | 2.0 | 3 | Medical | 1 | 521 | 2 | Female | 78 | 2 | 2 | Laboratory Technician | 3 | Married | 3448 | 13436 | 6 | Y | No | 22 | 4 | 2 | 80 | 1 | 20 | 3 | 3 | 1 | 0 | 0 | 0 |
47.0 | No | Travel_Rarely | 202.0 | Research & Development | 2.0 | 2 | Other | 1 | 820 | 3 | Female | 33 | 3 | 4 | Manager | 4 | Married | 16752 | 12982 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 26 | 3 | 2 | 26 | 14 | 3 | 0 |
NaN | Yes | Travel_Rarely | 737.0 | Sales | 10.0 | 3 | Medical | 1 | 1639 | 4 | Male | 55 | 2 | 3 | Sales Executive | 1 | Married | 10306 | 21530 | 9 | Y | No | 17 | 3 | 3 | 80 | 0 | 15 | 3 | 3 | 13 | 12 | 6 | 0 |
50.0 | No | Travel_Frequently | 333.0 | Research & Development | 22.0 | 5 | Medical | 1 | 1539 | 3 | Male | 88 | 1 | 4 | Research Director | 4 | Single | 14411 | 24450 | 1 | Y | Yes | 13 | 3 | 4 | 80 | 0 | 32 | 2 | 3 | 32 | 6 | 13 | 9 |
NaN | No | Travel_Rarely | 672.0 | Research & Development | 25.0 | 3 | Technical Degree | 1 | 899 | 4 | Male | 78 | 2 | 3 | Manufacturing Director | 2 | Married | 10903 | 9129 | 3 | Y | No | 16 | 3 | 1 | 80 | 0 | 16 | 2 | 3 | 13 | 10 | 4 | 8 |
21.0 | No | Travel_Rarely | 546.0 | Research & Development | NaN | 1 | Medical | 1 | 1623 | 3 | Male | 97 | 3 | 1 | Research Scientist | 4 | Single | 3117 | 26009 | 1 | Y | No | 18 | 3 | 3 | 80 | 0 | 3 | 2 | 3 | 2 | 2 | 2 | 2 |
27.0 | No | Travel_Rarely | 1354.0 | Research & Development | 2.0 | 4 | Technical Degree | 1 | 1931 | 2 | Male | 41 | 3 | 1 | Research Scientist | 2 | Married | 2226 | 6073 | 1 | Y | No | 11 | 3 | 3 | 80 | 1 | 6 | 3 | 2 | 5 | 3 | 1 | 2 |
48.0 | No | Travel_Rarely | 817.0 | Sales | 2.0 | 1 | Marketing | 1 | 712 | 2 | Male | 56 | 4 | 2 | Sales Executive | 2 | Married | 8120 | 18597 | 3 | Y | No | 12 | 3 | 4 | 80 | 0 | 12 | 3 | 3 | 2 | 2 | 2 | 2 |
36.0 | No | Travel_Rarely | 1223.0 | Research & Development | 8.0 | 3 | Technical Degree | 1 | 83 | 3 | Female | 59 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10096 | 8202 | 1 | Y | No | 13 | 3 | 2 | 80 | 3 | 17 | 2 | 3 | 17 | 14 | 12 | 8 |
NaN | Yes | Travel_Rarely | 103.0 | Research & Development | 24.0 | 3 | Life Sciences | 1 | 19 | 3 | Male | 50 | 2 | 1 | Laboratory Technician | 3 | Single | 2028 | 12947 | 5 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 6 | 4 | 3 | 4 | 2 | 0 | 3 |
36.0 | No | Travel_Rarely | 311.0 | Research & Development | 7.0 | 3 | Life Sciences | 1 | 1659 | 1 | Male | 77 | 3 | 1 | Laboratory Technician | 2 | Single | 2013 | 10950 | 2 | Y | No | 11 | 3 | 3 | 80 | 0 | 15 | 4 | 3 | 4 | 3 | 1 | 3 |
30.0 | No | Travel_Rarely | 330.0 | Human Resources | 1.0 | 3 | Life Sciences | 1 | 1499 | 3 | Male | 46 | 3 | 1 | Human Resources | 3 | Divorced | 2064 | 15428 | 0 | Y | No | 21 | 4 | 1 | 80 | 1 | 6 | 3 | 4 | 5 | 3 | 1 | 3 |
48.0 | No | Travel_Rarely | 1236.0 | Research & Development | 1.0 | 4 | Life Sciences | 1 | 664 | 4 | Female | 40 | 2 | 4 | Manager | 1 | Married | 15402 | 17997 | 7 | Y | No | 11 | 3 | 1 | 80 | 1 | 21 | 3 | 1 | 3 | 2 | 0 | 2 |
55.0 | No | Travel_Rarely | 1311.0 | Research & Development | 2.0 | 3 | Life Sciences | 1 | 505 | 3 | Female | 97 | 3 | 4 | Manager | 4 | Single | 16659 | 23258 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 30 | 2 | 3 | 5 | 4 | 1 | 2 |
55.0 | No | Travel_Rarely | 692.0 | Research & Development | 14.0 | 4 | Medical | 1 | 254 | 3 | Male | 61 | 4 | 5 | Research Director | 2 | Single | 18722 | 13339 | 8 | Y | No | 11 | 3 | 4 | 80 | 0 | 36 | 3 | 3 | 24 | 15 | 2 | 15 |
34.0 | No | Travel_Rarely | 1333.0 | Sales | 10.0 | 4 | Life Sciences | 1 | 1055 | 3 | Female | 87 | 3 | 1 | Sales Representative | 3 | Married | 2220 | 18410 | 1 | Y | Yes | 19 | 3 | 4 | 80 | 1 | 1 | 2 | 3 | 1 | 1 | 0 | 0 |
30.0 | Yes | Travel_Frequently | 334.0 | Sales | 26.0 | 4 | Marketing | 1 | 299 | 3 | Female | 52 | 2 | 2 | Sales Executive | 1 | Single | 6696 | 22967 | 5 | Y | No | 15 | 3 | 3 | 80 | 0 | 9 | 5 | 2 | 6 | 3 | 0 | 1 |
NaN | Yes | Travel_Rarely | 1204.0 | Sales | 4.0 | 3 | Technical Degree | 1 | 1100 | 4 | Male | 86 | 3 | 3 | Sales Executive | 1 | Single | 9582 | 10333 | 0 | Y | Yes | 22 | 4 | 1 | 80 | 0 | 9 | 2 | 3 | 8 | 7 | 4 | 7 |
54.0 | No | Travel_Frequently | 1050.0 | Research & Development | 11.0 | 4 | Medical | 1 | 1520 | 2 | Female | 87 | 3 | 4 | Manager | 4 | Divorced | 16032 | 24456 | 3 | Y | No | 20 | 4 | 1 | 80 | 1 | 26 | 2 | 3 | 14 | 9 | 1 | 12 |
42.0 | No | Non-Travel | 179.0 | Human Resources | 2.0 | 5 | Medical | 1 | 1231 | 4 | Male | 79 | 4 | 2 | Human Resources | 1 | Married | 6272 | 12858 | 7 | Y | No | 16 | 3 | 1 | 80 | 1 | 10 | 3 | 4 | 4 | 3 | 0 | 3 |
29.0 | No | Travel_Rarely | 738.0 | Research & Development | 9.0 | 5 | Other | 1 | 455 | 2 | Male | 30 | 2 | 1 | Laboratory Technician | 4 | Single | 3983 | 7621 | 0 | Y | No | 17 | 3 | 3 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
47.0 | No | Travel_Rarely | 955.0 | Sales | 4.0 | 2 | Life Sciences | 1 | 1003 | 4 | Female | 83 | 3 | 2 | Sales Executive | 4 | Single | 4163 | 8571 | 1 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 9 | 0 | 3 | 9 | 0 | 0 | 7 |
42.0 | No | Travel_Frequently | 555.0 | Sales | 26.0 | 3 | Marketing | 1 | 404 | 3 | Female | 77 | 3 | 4 | Sales Executive | 2 | Married | 13525 | 14864 | 5 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 2 | 4 | 20 | 4 | 4 | 8 |
31.0 | Yes | Travel_Rarely | 202.0 | Research & Development | 8.0 | 3 | Life Sciences | 1 | 1433 | 1 | Female | 34 | 2 | 1 | Research Scientist | 2 | Single | 1261 | 22262 | 1 | Y | No | 12 | 3 | 3 | 80 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 |
51.0 | No | Travel_Rarely | 942.0 | Research & Development | NaN | 3 | Technical Degree | 1 | 1786 | 1 | Female | 53 | 3 | 3 | Manager | 3 | Married | 13116 | 22984 | 2 | Y | No | 11 | 3 | 4 | 80 | 0 | 15 | 2 | 3 | 2 | 2 | 2 | 2 |
33.0 | No | Travel_Rarely | 922.0 | Research & Development | 1.0 | 5 | Medical | 1 | 612 | 1 | Female | 95 | 4 | 4 | Research Director | 3 | Divorced | 16184 | 22578 | 4 | Y | No | 19 | 3 | 3 | 80 | 1 | 10 | 2 | 3 | 6 | 1 | 0 | 5 |
39.0 | No | Travel_Rarely | NaN | Research & Development | 6.0 | 1 | Medical | 1 | 2062 | 4 | Male | 42 | 2 | 3 | Healthcare Representative | 1 | Married | 9991 | 21457 | 4 | Y | No | 15 | 3 | 1 | 80 | 1 | 9 | 5 | 3 | 7 | 7 | 1 | 7 |
21.0 | No | Travel_Rarely | 984.0 | Research & Development | 1.0 | 1 | Technical Degree | 1 | 1131 | 4 | Female | 70 | 2 | 1 | Research Scientist | 2 | Single | 2070 | 25326 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 2 | 6 | 4 | 2 | 2 | 2 | 2 |
36.0 | No | Travel_Rarely | 1403.0 | Research & Development | 6.0 | 3 | Life Sciences | 1 | 373 | 4 | Male | 47 | 3 | 1 | Laboratory Technician | 4 | Married | 3210 | 20251 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 16 | 4 | 3 | 15 | 13 | 10 | 11 |
43.0 | No | Travel_Rarely | 930.0 | Research & Development | 6.0 | 3 | Medical | 1 | 1402 | 1 | Female | 73 | 2 | 2 | Research Scientist | 3 | Single | 4081 | 20003 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 0 | 20 | 3 | 1 | 20 | 7 | 1 | 8 |
49.0 | No | Non-Travel | 1002.0 | Research & Development | 18.0 | 4 | Life Sciences | 1 | 275 | 4 | Male | 92 | 3 | 2 | Manufacturing Director | 4 | Divorced | 6804 | 23793 | 1 | Y | Yes | 15 | 3 | 1 | 80 | 2 | 7 | 0 | 3 | 7 | 7 | 1 | 7 |
27.0 | No | Non-Travel | 691.0 | Research & Development | 9.0 | 3 | Medical | 1 | 218 | 4 | Male | 57 | 3 | 1 | Research Scientist | 2 | Divorced | 2024 | 5970 | 6 | Y | No | 18 | 3 | 4 | 80 | 1 | 6 | 1 | 1 | 2 | 2 | 2 | 2 |
NaN | No | Travel_Rarely | 583.0 | Research & Development | 25.0 | 4 | Medical | 1 | 1014 | 3 | Female | 57 | 3 | 3 | Healthcare Representative | 3 | Divorced | 10388 | 6975 | 1 | Y | Yes | 11 | 3 | 3 | 80 | 1 | 16 | 3 | 2 | 16 | 10 | 10 | 1 |
56.0 | No | Travel_Frequently | NaN | Sales | 6.0 | 3 | Life Sciences | 1 | 532 | 3 | Female | 86 | 4 | 4 | Sales Executive | 1 | Married | 13212 | 18256 | 9 | Y | No | 11 | 3 | 4 | 80 | 3 | 36 | 0 | 2 | 7 | 7 | 7 | 7 |
30.0 | No | Travel_Rarely | 231.0 | Sales | 8.0 | 2 | Other | 1 | 982 | 3 | Male | 62 | 3 | 3 | Sales Executive | 3 | Divorced | 7264 | 9977 | 5 | Y | No | 11 | 3 | 1 | 80 | 1 | 10 | 2 | 4 | 8 | 4 | 7 | 7 |
42.0 | No | Travel_Rarely | 1059.0 | Research & Development | 9.0 | 2 | Other | 1 | 1595 | 4 | Male | 93 | 2 | 5 | Manager | 4 | Single | 19613 | 26362 | 8 | Y | No | 22 | 4 | 4 | 80 | 0 | 24 | 2 | 3 | 1 | 0 | 0 | 1 |
23.0 | No | Travel_Rarely | 310.0 | Research & Development | 10.0 | 1 | Medical | 1 | 784 | 1 | Male | 79 | 4 | 1 | Research Scientist | 3 | Single | 3505 | 19630 | 1 | Y | No | 18 | 3 | 4 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
NaN | Yes | Travel_Rarely | 383.0 | Sales | 9.0 | 2 | Life Sciences | 1 | 1439 | 1 | Male | 68 | 2 | 1 | Sales Representative | 1 | Married | 4400 | 15182 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 6 | 2 | 3 | 3 | 2 | 2 | 2 |
24.0 | No | Travel_Rarely | 1476.0 | Sales | 4.0 | 1 | Medical | 1 | 1445 | 4 | Female | 42 | 3 | 2 | Sales Executive | 3 | Married | 4162 | 15211 | 1 | Y | Yes | 12 | 3 | 3 | 80 | 2 | 5 | 3 | 3 | 5 | 4 | 0 | 3 |
29.0 | No | Travel_Rarely | 598.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 1558 | 3 | Male | 91 | 4 | 1 | Research Scientist | 3 | Married | 2451 | 22376 | 6 | Y | No | 18 | 3 | 1 | 80 | 2 | 5 | 2 | 2 | 1 | 0 | 0 | 0 |
29.0 | Yes | Travel_Rarely | 121.0 | Sales | 27.0 | 3 | Marketing | 1 | 283 | 2 | Female | 35 | 3 | 3 | Sales Executive | 4 | Married | 7639 | 24525 | 1 | Y | No | 22 | 4 | 4 | 80 | 3 | 10 | 3 | 2 | 10 | 4 | 1 | 9 |
24.0 | Yes | Travel_Rarely | 813.0 | Research & Development | 1.0 | 3 | Medical | 1 | 45 | 2 | Male | 61 | 3 | 1 | Research Scientist | 4 | Married | 2293 | 3020 | 2 | Y | Yes | 16 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 2 | 0 | 2 | 0 |
43.0 | No | Travel_Rarely | 415.0 | Sales | 25.0 | 3 | Medical | 1 | 1076 | 3 | Male | 79 | 2 | 3 | Sales Executive | 4 | Divorced | 10798 | 5268 | 5 | Y | No | 13 | 3 | 3 | 80 | 1 | 18 | 5 | 3 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 1017.0 | Research & Development | 6.0 | 4 | Life Sciences | 1 | 691 | 2 | Male | 82 | 1 | 2 | Research Scientist | 4 | Single | 6646 | 19368 | 1 | Y | No | 13 | 3 | 2 | 80 | 0 | 17 | 3 | 3 | 17 | 11 | 11 | 8 |
34.0 | No | Travel_Rarely | 704.0 | Sales | 28.0 | 3 | Marketing | 1 | 2035 | 4 | Female | 95 | 2 | 2 | Sales Executive | 3 | Married | 6712 | 8978 | 1 | Y | No | 21 | 4 | 4 | 80 | 2 | 8 | 2 | 3 | 8 | 7 | 1 | 7 |
NaN | Yes | Travel_Rarely | 1404.0 | Research & Development | 17.0 | 3 | Technical Degree | 1 | 1960 | 3 | Male | 32 | 2 | 1 | Laboratory Technician | 4 | Divorced | 2367 | 18779 | 5 | Y | No | 12 | 3 | 1 | 80 | 1 | 6 | 2 | 2 | 4 | 1 | 0 | 3 |
51.0 | No | Travel_Rarely | 632.0 | Sales | 21.0 | 4 | Marketing | 1 | 120 | 3 | Male | 71 | 3 | 2 | Sales Executive | 4 | Single | 5441 | 8423 | 0 | Y | Yes | 22 | 4 | 4 | 80 | 0 | 11 | 2 | 1 | 10 | 7 | 1 | 0 |
33.0 | No | Travel_Rarely | 217.0 | Sales | 10.0 | 4 | Marketing | 1 | 1924 | 2 | Male | 43 | 3 | 2 | Sales Executive | 3 | Single | 5487 | 10410 | 1 | Y | No | 14 | 3 | 2 | 80 | 0 | 10 | 2 | 2 | 10 | 4 | 0 | 9 |
59.0 | No | Travel_Rarely | 326.0 | Sales | NaN | 3 | Life Sciences | 1 | 1254 | 3 | Female | 48 | 2 | 2 | Sales Executive | 4 | Single | 5171 | 16490 | 5 | Y | No | 17 | 3 | 4 | 80 | 0 | 13 | 2 | 3 | 6 | 1 | 0 | 5 |
45.0 | No | Travel_Rarely | 954.0 | Sales | 2.0 | 2 | Technical Degree | 1 | 783 | 2 | Male | 46 | 1 | 2 | Sales Representative | 3 | Single | 6632 | 12388 | 0 | Y | No | 13 | 3 | 1 | 80 | 0 | 9 | 3 | 3 | 8 | 7 | 3 | 1 |
NaN | Yes | Travel_Rarely | 1475.0 | Sales | 13.0 | 2 | Marketing | 1 | 1933 | 4 | Female | 84 | 3 | 2 | Sales Executive | 3 | Single | 9854 | 23352 | 3 | Y | Yes | 11 | 3 | 4 | 80 | 0 | 6 | 0 | 3 | 2 | 0 | 2 | 2 |
20.0 | Yes | Travel_Frequently | 769.0 | Sales | 9.0 | 3 | Marketing | 1 | 1077 | 4 | Female | 54 | 3 | 1 | Sales Representative | 4 | Single | 2323 | 17205 | 1 | Y | Yes | 14 | 3 | 2 | 80 | 0 | 2 | 3 | 3 | 2 | 2 | 0 | 2 |
32.0 | No | Non-Travel | 976.0 | Sales | 26.0 | 4 | Marketing | 1 | 333 | 3 | Male | 100 | 3 | 2 | Sales Executive | 4 | Married | 4465 | 12069 | 0 | Y | No | 18 | 3 | 1 | 80 | 0 | 4 | 2 | 3 | 3 | 2 | 2 | 2 |
34.0 | No | Travel_Rarely | 1346.0 | Research & Development | 19.0 | 2 | Medical | 1 | 18 | 2 | Male | 93 | 3 | 1 | Laboratory Technician | 4 | Divorced | 2661 | 8758 | 0 | Y | No | 11 | 3 | 3 | 80 | 1 | 3 | 2 | 3 | 2 | 2 | 1 | 2 |
43.0 | No | Travel_Frequently | 185.0 | Research & Development | 10.0 | 4 | Life Sciences | 1 | 430 | 3 | Female | 33 | 3 | 1 | Laboratory Technician | 4 | Single | 2455 | 10675 | 0 | Y | No | 19 | 3 | 1 | 80 | 0 | 9 | 5 | 3 | 8 | 7 | 1 | 7 |
32.0 | No | Travel_Rarely | 859.0 | Research & Development | 4.0 | 3 | Life Sciences | 1 | 830 | 3 | Female | 98 | 2 | 2 | Manufacturing Director | 3 | Married | 6162 | 19124 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 14 | 3 | 3 | 14 | 13 | 6 | 8 |
40.0 | No | Travel_Rarely | 759.0 | Sales | 2.0 | 2 | Marketing | 1 | 516 | 4 | Female | 46 | 3 | 2 | Sales Executive | 2 | Divorced | 5715 | 22553 | 7 | Y | No | 12 | 3 | 3 | 80 | 2 | 8 | 5 | 3 | 5 | 4 | 1 | 3 |
NaN | Yes | Travel_Rarely | 920.0 | Human Resources | 20.0 | 2 | Medical | 1 | 1818 | 4 | Female | 69 | 3 | 1 | Human Resources | 2 | Married | 2148 | 6889 | 0 | Y | Yes | 11 | 3 | 3 | 80 | 0 | 6 | 3 | 3 | 5 | 1 | 1 | 4 |
41.0 | No | Travel_Rarely | 465.0 | Research & Development | 14.0 | 3 | Life Sciences | 1 | 227 | 1 | Male | 56 | 3 | 1 | Research Scientist | 3 | Divorced | 2451 | 4609 | 4 | Y | No | 12 | 3 | 1 | 80 | 1 | 13 | 2 | 3 | 9 | 8 | 1 | 8 |
NaN | No | Travel_Rarely | 982.0 | Research & Development | 1.0 | 4 | Medical | 1 | 1172 | 4 | Male | 58 | 2 | 1 | Laboratory Technician | 3 | Married | 2258 | 16340 | 6 | Y | No | 12 | 3 | 2 | 80 | 1 | 10 | 2 | 3 | 8 | 0 | 1 | 7 |
24.0 | No | Non-Travel | 673.0 | Research & Development | 11.0 | 2 | Other | 1 | 26 | 1 | Female | 96 | 4 | 2 | Manufacturing Director | 3 | Divorced | 4011 | 8232 | 0 | Y | No | 18 | 3 | 4 | 80 | 1 | 5 | 5 | 2 | 4 | 2 | 1 | 3 |
53.0 | No | Travel_Rarely | 868.0 | Sales | 8.0 | 3 | Marketing | 1 | 897 | 1 | Male | 73 | 3 | 4 | Sales Executive | 4 | Married | 11836 | 22789 | 5 | Y | No | 14 | 3 | 3 | 80 | 1 | 28 | 3 | 3 | 2 | 0 | 2 | 2 |
47.0 | No | Travel_Rarely | 1176.0 | Human Resources | 26.0 | 4 | Life Sciences | 1 | 1625 | 4 | Female | 98 | 3 | 5 | Manager | 3 | Married | 19658 | 5220 | 3 | Y | No | 11 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 5 | 2 | 1 | 0 |
31.0 | Yes | Travel_Frequently | 874.0 | Research & Development | 15.0 | 3 | Medical | 1 | 1160 | 3 | Male | 72 | 3 | 1 | Laboratory Technician | 3 | Married | 2610 | 6233 | 1 | Y | No | 12 | 3 | 3 | 80 | 1 | 2 | 5 | 2 | 2 | 2 | 2 | 2 |
34.0 | No | Non-Travel | 1375.0 | Sales | 10.0 | 3 | Life Sciences | 1 | 1774 | 4 | Male | 87 | 3 | 2 | Sales Executive | 3 | Divorced | 4001 | 12313 | 1 | Y | Yes | 14 | 3 | 3 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 0 | 7 |
33.0 | Yes | Travel_Rarely | 527.0 | Research & Development | 1.0 | 4 | Other | 1 | 780 | 4 | Male | 63 | 3 | 1 | Research Scientist | 4 | Single | 2686 | 5207 | 1 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 10 | 2 | 2 | 10 | 9 | 7 | 8 |
32.0 | No | Travel_Rarely | 801.0 | Sales | 1.0 | 4 | Marketing | 1 | 2016 | 3 | Female | 48 | 3 | 3 | Sales Executive | 4 | Married | 10422 | 24032 | 1 | Y | No | 19 | 3 | 3 | 80 | 2 | 14 | 3 | 3 | 14 | 10 | 5 | 7 |
41.0 | No | Travel_Rarely | 263.0 | Research & Development | 6.0 | 3 | Medical | 1 | 957 | 4 | Male | 59 | 3 | 1 | Laboratory Technician | 1 | Single | 4721 | 3119 | 2 | Y | Yes | 13 | 3 | 3 | 80 | 0 | 20 | 3 | 3 | 18 | 13 | 2 | 17 |
40.0 | No | Non-Travel | 458.0 | Research & Development | 16.0 | 2 | Life Sciences | 1 | 1340 | 3 | Male | 74 | 3 | 1 | Research Scientist | 3 | Divorced | 3544 | 8532 | 9 | Y | No | 16 | 3 | 2 | 80 | 1 | 6 | 0 | 3 | 4 | 2 | 0 | 0 |
51.0 | No | Travel_Rarely | 313.0 | Research & Development | NaN | 3 | Medical | 1 | 258 | 4 | Female | 98 | 3 | 4 | Healthcare Representative | 2 | Single | 13734 | 7192 | 3 | Y | No | 18 | 3 | 3 | 80 | 0 | 21 | 6 | 3 | 7 | 7 | 1 | 0 |
55.0 | Yes | Travel_Rarely | 267.0 | Sales | 13.0 | 4 | Marketing | 1 | 1372 | 1 | Male | 85 | 4 | 4 | Sales Executive | 3 | Single | 13695 | 9277 | 6 | Y | Yes | 17 | 3 | 3 | 80 | 0 | 24 | 2 | 2 | 19 | 7 | 3 | 8 |
52.0 | No | Travel_Rarely | 1053.0 | Research & Development | 1.0 | 2 | Life Sciences | 1 | 976 | 4 | Male | 70 | 3 | 4 | Manager | 4 | Married | 17099 | 13829 | 2 | Y | No | 15 | 3 | 2 | 80 | 1 | 26 | 2 | 2 | 9 | 8 | 7 | 8 |
54.0 | No | Travel_Rarely | 397.0 | Human Resources | 19.0 | 4 | Medical | 1 | 698 | 3 | Male | 88 | 3 | 3 | Human Resources | 2 | Married | 10725 | 6729 | 2 | Y | No | 15 | 3 | 3 | 80 | 1 | 16 | 1 | 4 | 9 | 7 | 7 | 1 |
23.0 | No | Travel_Rarely | 507.0 | Research & Development | 20.0 | 1 | Life Sciences | 1 | 1533 | 1 | Male | 97 | 3 | 2 | Laboratory Technician | 3 | Single | 2272 | 24812 | 0 | Y | No | 14 | 3 | 2 | 80 | 0 | 5 | 2 | 3 | 4 | 3 | 1 | 2 |
24.0 | No | Travel_Rarely | 691.0 | Research & Development | 23.0 | 3 | Medical | 1 | 639 | 2 | Male | 89 | 4 | 1 | Research Scientist | 4 | Married | 2725 | 21630 | 1 | Y | Yes | 11 | 3 | 2 | 80 | 2 | 6 | 3 | 3 | 6 | 5 | 1 | 4 |
20.0 | No | Travel_Rarely | 805.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 1198 | 1 | Male | 87 | 2 | 1 | Laboratory Technician | 3 | Single | 3033 | 12828 | 1 | Y | No | 12 | 3 | 1 | 80 | 0 | 2 | 2 | 2 | 2 | 2 | 1 | 2 |
38.0 | No | Travel_Rarely | 1035.0 | Sales | NaN | 4 | Life Sciences | 1 | 1036 | 2 | Male | 42 | 3 | 2 | Sales Executive | 4 | Single | 6861 | 4981 | 8 | Y | Yes | 12 | 3 | 3 | 80 | 0 | 19 | 1 | 3 | 1 | 0 | 0 | 0 |
29.0 | No | Travel_Rarely | 665.0 | Research & Development | 15.0 | 3 | Life Sciences | 1 | 346 | 3 | Male | 60 | 3 | 1 | Research Scientist | 4 | Single | 2340 | 22673 | 1 | Y | No | 19 | 3 | 1 | 80 | 0 | 6 | 1 | 3 | 6 | 5 | 1 | 5 |
36.0 | Yes | Travel_Rarely | 1218.0 | Sales | 9.0 | 4 | Life Sciences | 1 | 27 | 3 | Male | 82 | 2 | 1 | Sales Representative | 1 | Single | 3407 | 6986 | 7 | Y | No | 23 | 4 | 2 | 80 | 0 | 10 | 4 | 3 | 5 | 3 | 0 | 3 |
NaN | No | Travel_Rarely | 1172.0 | Sales | NaN | 3 | Medical | 1 | 1875 | 2 | Female | 78 | 3 | 1 | Sales Representative | 2 | Married | 2856 | 3692 | 1 | Y | No | 19 | 3 | 4 | 80 | 1 | 1 | 3 | 3 | 1 | 0 | 0 | 0 |
41.0 | No | Non-Travel | 509.0 | Research & Development | 2.0 | 4 | Other | 1 | 616 | 1 | Female | 62 | 2 | 2 | Healthcare Representative | 3 | Single | 6811 | 2112 | 2 | Y | Yes | 17 | 3 | 1 | 80 | 0 | 10 | 3 | 3 | 8 | 7 | 0 | 7 |
54.0 | No | Travel_Rarely | 584.0 | Research & Development | 22.0 | 5 | Medical | 1 | 1665 | 2 | Female | 91 | 3 | 4 | Manager | 3 | Married | 17426 | 18685 | 3 | Y | No | 25 | 4 | 3 | 80 | 1 | 36 | 6 | 3 | 10 | 8 | 4 | 7 |
NaN | No | Travel_Rarely | 1315.0 | Research & Development | 22.0 | 3 | Life Sciences | 1 | 381 | 2 | Female | 71 | 4 | 3 | Manager | 2 | Divorced | 11996 | 19100 | 7 | Y | No | 18 | 3 | 2 | 80 | 1 | 10 | 6 | 2 | 7 | 7 | 6 | 2 |
55.0 | No | Travel_Rarely | 282.0 | Research & Development | 2.0 | 2 | Medical | 1 | 1336 | 4 | Female | 58 | 1 | 5 | Manager | 3 | Married | 19187 | 6992 | 4 | Y | No | 14 | 3 | 4 | 80 | 1 | 23 | 5 | 3 | 19 | 9 | 9 | 11 |
NaN | No | Travel_Frequently | 146.0 | Research & Development | 2.0 | 4 | Medical | 1 | 1704 | 1 | Male | 79 | 2 | 1 | Research Scientist | 4 | Single | 4930 | 13970 | 0 | Y | Yes | 14 | 3 | 3 | 80 | 0 | 6 | 2 | 4 | 5 | 4 | 1 | 4 |
30.0 | Yes | Travel_Frequently | 464.0 | Research & Development | 4.0 | 3 | Technical Degree | 1 | 514 | 3 | Male | 40 | 3 | 1 | Research Scientist | 4 | Single | 2285 | 3427 | 9 | Y | Yes | 23 | 4 | 3 | 80 | 0 | 3 | 4 | 3 | 1 | 0 | 0 | 0 |
45.0 | No | Non-Travel | 1050.0 | Sales | 9.0 | 4 | Life Sciences | 1 | 1117 | 2 | Female | 65 | 2 | 2 | Sales Executive | 3 | Married | 5593 | 17970 | 1 | Y | No | 13 | 3 | 4 | 80 | 1 | 15 | 2 | 3 | 15 | 10 | 4 | 12 |
39.0 | No | Non-Travel | 105.0 | Research & Development | 9.0 | 3 | Life Sciences | 1 | 2022 | 4 | Male | 87 | 3 | 5 | Manager | 4 | Single | 19431 | 15302 | 2 | Y | No | 13 | 3 | 3 | 80 | 0 | 21 | 3 | 2 | 6 | 0 | 1 | 3 |
29.0 | No | Travel_Rarely | 144.0 | Sales | 10.0 | 1 | Marketing | 1 | 463 | 4 | Female | 39 | 2 | 2 | Sales Executive | 2 | Divorced | 8268 | 11866 | 1 | Y | Yes | 14 | 3 | 1 | 80 | 2 | 7 | 2 | 3 | 7 | 7 | 1 | 7 |
NaN | No | Travel_Frequently | 921.0 | Research & Development | 1.0 | 1 | Medical | 1 | 1068 | 1 | Female | 66 | 2 | 1 | Research Scientist | 3 | Divorced | 2007 | 25265 | 1 | Y | No | 13 | 3 | 3 | 80 | 2 | 5 | 5 | 3 | 5 | 3 | 1 | 3 |
29.0 | Yes | Travel_Frequently | 459.0 | Research & Development | 24.0 | 2 | Life Sciences | 1 | 1868 | 4 | Male | 73 | 2 | 1 | Research Scientist | 4 | Single | 2439 | 14753 | 1 | Y | Yes | 24 | 4 | 2 | 80 | 0 | 1 | 3 | 2 | 1 | 0 | 1 | 0 |
43.0 | No | Travel_Frequently | 957.0 | Research & Development | 28.0 | 3 | Medical | 1 | 171 | 2 | Female | 72 | 4 | 1 | Research Scientist | 3 | Single | 4739 | 16090 | 4 | Y | No | 12 | 3 | 4 | 80 | 0 | 18 | 2 | 3 | 3 | 2 | 1 | 2 |
24.0 | Yes | Travel_Rarely | 984.0 | Research & Development | 17.0 | 2 | Life Sciences | 1 | 1219 | 4 | Female | 97 | 3 | 1 | Laboratory Technician | 2 | Married | 2210 | 3372 | 1 | Y | No | 13 | 3 | 1 | 80 | 1 | 1 | 3 | 1 | 1 | 0 | 0 | 0 |
NaN | No | Travel_Rarely | 670.0 | Research & Development | 10.0 | 4 | Medical | 1 | 1587 | 1 | Female | 51 | 3 | 2 | Healthcare Representative | 3 | Single | 6142 | 4223 | 3 | Y | Yes | 16 | 3 | 3 | 80 | 0 | 10 | 4 | 3 | 5 | 2 | 0 | 4 |
53.0 | Yes | Travel_Rarely | 1168.0 | Sales | 24.0 | 4 | Life Sciences | 1 | 1968 | 1 | Male | 66 | 3 | 3 | Sales Executive | 1 | Single | 10448 | 5843 | 6 | Y | Yes | 13 | 3 | 2 | 80 | 0 | 15 | 2 | 2 | 2 | 2 | 2 | 2 |
51.0 | No | Travel_Rarely | 432.0 | Research & Development | 9.0 | 4 | Life Sciences | 1 | 116 | 4 | Male | 96 | 3 | 1 | Laboratory Technician | 4 | Married | 2075 | 18725 | 3 | Y | No | 23 | 4 | 2 | 80 | 2 | 10 | 4 | 3 | 4 | 2 | 0 | 3 |
43.0 | No | Travel_Frequently | 559.0 | Research & Development | 10.0 | 4 | Life Sciences | 1 | 448 | 3 | Female | 82 | 2 | 2 | Laboratory Technician | 3 | Divorced | 5257 | 6227 | 1 | Y | No | 11 | 3 | 2 | 80 | 1 | 9 | 3 | 4 | 9 | 7 | 0 | 0 |
23.0 | No | Travel_Rarely | 160.0 | Research & Development | 4.0 | 1 | Medical | 1 | 1735 | 3 | Female | 51 | 3 | 1 | Laboratory Technician | 2 | Single | 3295 | 12862 | 1 | Y | No | 13 | 3 | 3 | 80 | 0 | 3 | 3 | 1 | 3 | 2 | 1 | 2 |
41.0 | No | Travel_Rarely | 1276.0 | Sales | 2.0 | 5 | Life Sciences | 1 | 625 | 2 | Female | 91 | 3 | 4 | Manager | 1 | Married | 16595 | 5626 | 7 | Y | No | 16 | 3 | 2 | 80 | 1 | 22 | 2 | 3 | 18 | 16 | 11 | 8 |
33.0 | No | Non-Travel | 750.0 | Sales | 22.0 | 2 | Marketing | 1 | 160 | 3 | Male | 95 | 3 | 2 | Sales Executive | 2 | Married | 6146 | 15480 | 0 | Y | No | 13 | 3 | 1 | 80 | 1 | 8 | 2 | 4 | 7 | 7 | 0 | 7 |
49.0 | No | Travel_Rarely | 1495.0 | Research & Development | NaN | 4 | Technical Degree | 1 | 1473 | 1 | Male | 96 | 3 | 2 | Healthcare Representative | 3 | Married | 6651 | 21534 | 2 | Y | No | 14 | 3 | 2 | 80 | 1 | 20 | 0 | 2 | 3 | 2 | 1 | 2 |
33.0 | No | Travel_Rarely | 589.0 | Research & Development | 28.0 | 4 | Life Sciences | 1 | 1549 | 2 | Male | 79 | 3 | 2 | Laboratory Technician | 3 | Married | 5207 | 22949 | 1 | Y | Yes | 12 | 3 | 2 | 80 | 1 | 15 | 3 | 3 | 15 | 14 | 5 | 7 |
NaN | No | Travel_Rarely | 750.0 | Research & Development | 28.0 | 3 | Life Sciences | 1 | 1596 | 2 | Male | 46 | 4 | 2 | Laboratory Technician | 3 | Married | 3407 | 25348 | 1 | Y | No | 17 | 3 | 4 | 80 | 2 | 10 | 3 | 2 | 10 | 9 | 6 | 8 |
41.0 | No | Travel_Rarely | 447.0 | Research & Development | NaN | 3 | Life Sciences | 1 | 1814 | 2 | Male | 85 | 4 | 2 | Healthcare Representative | 2 | Single | 6870 | 15530 | 3 | Y | No | 12 | 3 | 1 | 80 | 0 | 11 | 3 | 1 | 3 | 2 | 1 | 2 |
22.0 | Yes | Travel_Frequently | 1256.0 | Research & Development | NaN | 4 | Life Sciences | 1 | 1203 | 3 | Male | 48 | 2 | 1 | Research Scientist | 4 | Married | 2853 | 4223 | 0 | Y | Yes | 11 | 3 | 2 | 80 | 1 | 1 | 5 | 3 | 0 | 0 | 0 | 0 |
29.0 | No | Travel_Rarely | 1378.0 | Research & Development | 13.0 | 2 | Other | 1 | 2053 | 4 | Male | 46 | 2 | 2 | Laboratory Technician | 2 | Married | 4025 | 23679 | 4 | Y | Yes | 13 | 3 | 1 | 80 | 1 | 10 | 2 | 3 | 4 | 3 | 0 | 3 |
50.0 | No | Travel_Rarely | 264.0 | Sales | 9.0 | 3 | Marketing | 1 | 1591 | 3 | Male | 59 | 3 | 5 | Manager | 3 | Married | 19331 | 19519 | 4 | Y | Yes | 16 | 3 | 3 | 80 | 1 | 27 | 2 | 3 | 1 | 0 | 0 | 0 |
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74224 | 7622 | Platinum | Inactive | Finance | 2022-12-10 | Active | Manager | RMS | SubSL_3 | Canada | New York | TAX01 | NaN | 2023-04-09 |
83243 | 6785 | Bronze | Active | Finance | 2022-10-21 | Inactive | Director | TAX | SubSL_1 | Canada | London | DS02 | Technology | 2023-04-10 |
77659 | 1122 | Gold | Active | Marketing | 2023-05-12 | Active | Supervisor | TAX | SubSL_1 | Canada | London | TAX01 | Technology | 2022-12-27 |
30762 | 3461 | Platinum | Inactive | Data Strategy | 2023-03-02 | Active | Director | Consulting | SubSL_2 | Canada | Toronto | TAX01 | Technology | 2023-05-07 |
55759 | 2092 | Bronze | Active | HR | 2023-01-08 | Active | Employee | Consulting | SubSL_3 | USA | Toronto | AI001 | NaN | 2022-10-23 |
72779 | 3443 | Silver | Active | Marketing | 2023-06-04 | Active | Manager | Consulting | SubSL_3 | USA | Toronto | AI001 | Business | 2023-08-20 |
96954 | 8873 | Platinum | Active | Data Strategy | 2023-05-16 | Active | Manager | IT | SubSL_2 | UK | New York | TAX01 | Technology | 2023-06-15 |
88078 | 4516 | Bronze | Inactive | HR | 2023-08-20 | Active | Manager | RMS | SubSL_1 | UK | New York | DS02 | NaN | 2022-11-06 |
81369 | 6239 | Gold | Active | HR | 2022-12-01 | Active | Director | IT | SubSL_3 | USA | New York | BI002 | Business | 2022-10-09 |
55775 | 8432 | Silver | Inactive | Finance | 2022-10-31 | Inactive | Manager | RMS | SubSL_2 | USA | London | DS02 | NaN | 2023-08-06 |
22472 | 9758 | Gold | Inactive | IT | 2023-04-27 | Inactive | Employee | Consulting | SubSL_1 | Canada | Los Angeles | AI001 | Business | 2023-06-04 |
99742 | 7772 | Silver | Inactive | IT | 2023-04-24 | Active | Director | IT | SubSL_2 | UK | London | TAX01 | Business | 2023-01-10 |
26787 | 5415 | Platinum | Active | IT | 2022-11-03 | Inactive | Manager | RMS | SubSL_2 | Canada | Toronto | BI002 | Business | 2023-04-30 |
95559 | 5654 | Silver | Inactive | Finance | 2022-12-28 | Inactive | Director | Audit | SubSL_1 | USA | London | DS02 | Technology | 2023-08-01 |
32694 | 4053 | Bronze | Active | Marketing | 2023-06-24 | Inactive | Supervisor | IT | SubSL_3 | UK | Toronto | AI001 | NaN | 2022-11-15 |
91670 | 1357 | Silver | Inactive | HR | 2023-01-24 | Active | Employee | IT | SubSL_3 | Canada | London | TAX01 | NaN | 2023-06-01 |
62609 | 7883 | Bronze | Inactive | Data Strategy | 2023-05-25 | Inactive | Director | Audit | SubSL_3 | UK | London | DS02 | Business | 2023-07-18 |
76541 | 3119 | Silver | Active | IT | 2023-01-01 | Inactive | Director | Audit | SubSL_1 | USA | Los Angeles | AI001 | Technology | 2023-01-31 |
89755 | 1903 | Gold | Inactive | Data Strategy | 2023-01-08 | Active | Supervisor | IT | SubSL_1 | UK | Toronto | DS02 | NaN | 2023-03-09 |
35125 | 5518 | Bronze | Active | HR | 2023-02-08 | Inactive | Manager | Consulting | SubSL_2 | Canada | New York | TAX01 | Business | 2023-03-22 |
71571 | 4986 | Silver | Inactive | Data Strategy | 2023-07-07 | Inactive | Employee | TAX | SubSL_3 | UK | London | AI001 | Technology | 2023-06-29 |
36360 | 7678 | Gold | Inactive | Finance | 2023-03-01 | Active | Employee | Consulting | SubSL_1 | UK | Los Angeles | BI002 | Technology | 2023-02-26 |
88724 | 3177 | Platinum | Inactive | Marketing | 2022-12-08 | Active | Manager | Audit | SubSL_2 | UK | London | AI001 | Business | 2023-01-29 |
57257 | 8740 | Bronze | Inactive | Data Strategy | 2023-01-14 | Active | Director | RMS | SubSL_3 | UK | Toronto | DS02 | Technology | 2023-08-08 |
46810 | 1663 | Silver | Active | Data Strategy | 2023-01-20 | Active | Manager | Audit | SubSL_1 | UK | London | DS02 | NaN | 2023-01-23 |
35908 | 7650 | Platinum | Active | IT | 2023-02-07 | Inactive | Director | TAX | SubSL_3 | Canada | New York | TAX01 | Technology | 2023-09-02 |
93616 | 1769 | Bronze | Active | HR | 2023-07-09 | Inactive | Employee | TAX | SubSL_2 | USA | Los Angeles | AI001 | Business | 2023-08-29 |
43879 | 4000 | Platinum | Inactive | HR | 2023-02-08 | Active | Employee | Consulting | SubSL_1 | USA | Los Angeles | TAX01 | Business | 2023-07-29 |
23275 | 2249 | Silver | Active | Finance | 2023-07-04 | Active | Employee | Consulting | SubSL_2 | UK | New York | DS02 | Business | 2023-08-22 |
76353 | 3059 | Platinum | Active | Marketing | 2023-01-01 | Inactive | Manager | Consulting | SubSL_1 | Canada | New York | TAX01 | Technology | 2023-05-08 |
17522 | 5550 | Platinum | Active | Data Strategy | 2023-04-24 | Active | Supervisor | RMS | SubSL_3 | UK | Los Angeles | AI001 | Technology | 2022-12-02 |
14250 | 5936 | Gold | Inactive | Finance | 2023-09-17 | Active | Director | Consulting | SubSL_2 | USA | New York | TAX01 | NaN | 2023-02-09 |
56996 | 5014 | Bronze | Inactive | Data Strategy | 2022-10-05 | Active | Employee | IT | SubSL_1 | USA | Toronto | AI001 | NaN | 2023-07-04 |
27597 | 5458 | Gold | Inactive | Data Strategy | 2023-04-02 | Active | Director | Audit | SubSL_3 | USA | New York | DS02 | Business | 2022-12-31 |
64771 | 1655 | Gold | Inactive | Finance | 2022-12-20 | Active | Manager | IT | SubSL_1 | Canada | Toronto | AI001 | Business | 2022-12-03 |
88032 | 8304 | Bronze | Active | Marketing | 2023-02-11 | Inactive | Employee | RMS | SubSL_3 | Canada | Toronto | TAX01 | NaN | 2023-08-04 |
67085 | 3591 | Gold | Active | HR | 2023-01-28 | Active | Supervisor | TAX | SubSL_1 | USA | Toronto | BI002 | Leadership | 2023-01-23 |
73218 | 6666 | Platinum | Inactive | IT | 2023-03-18 | Inactive | Supervisor | RMS | SubSL_3 | UK | Los Angeles | BI002 | NaN | 2023-05-05 |
10369 | 1915 | Bronze | Inactive | Data Strategy | 2023-07-30 | Inactive | Director | RMS | SubSL_1 | USA | London | BI002 | Business | 2023-02-14 |
85648 | 3422 | Bronze | Inactive | Finance | 2023-01-11 | Active | Supervisor | TAX | SubSL_2 | Canada | London | AI001 | Technology | 2023-02-25 |
75159 | 9108 | Silver | Active | Marketing | 2023-06-25 | Inactive | Director | Audit | SubSL_3 | Canada | Toronto | DS02 | NaN | 2023-07-15 |
89617 | 9486 | Bronze | Inactive | Finance | 2022-09-25 | Active | Director | Consulting | SubSL_1 | Canada | New York | AI001 | NaN | 2022-11-06 |
31552 | 1325 | Platinum | Inactive | Marketing | 2023-01-14 | Active | Director | TAX | SubSL_3 | Canada | New York | AI001 | Business | 2022-11-22 |
34541 | 7315 | Gold | Active | Marketing | 2023-06-12 | Active | Employee | TAX | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2022-10-31 |
38274 | 8777 | Silver | Active | IT | 2023-01-03 | Inactive | Director | IT | SubSL_2 | USA | New York | BI002 | Business | 2023-02-07 |
70217 | 9289 | Platinum | Inactive | IT | 2022-12-29 | Active | Supervisor | IT | SubSL_1 | Canada | London | TAX01 | NaN | 2023-06-19 |
12969 | 3011 | Gold | Inactive | IT | 2023-05-11 | Active | Director | TAX | SubSL_3 | Canada | Los Angeles | AI001 | Technology | 2023-04-03 |
67864 | 8236 | Gold | Inactive | IT | 2022-11-21 | Inactive | Manager | RMS | SubSL_3 | USA | Los Angeles | DS02 | Business | 2022-10-31 |
65649 | 8608 | Gold | Active | Finance | 2022-11-02 | Inactive | Employee | RMS | SubSL_3 | Canada | Los Angeles | AI001 | Technology | 2022-11-20 |
35551 | 8820 | Platinum | Inactive | Marketing | 2023-04-07 | Active | Employee | RMS | SubSL_2 | Canada | Toronto | BI002 | NaN | 2023-01-20 |
28020 | 1878 | Silver | Active | IT | 2023-06-17 | Active | Supervisor | Audit | SubSL_2 | USA | Los Angeles | TAX01 | Business | 2022-10-11 |
72713 | 6122 | Platinum | Active | IT | 2022-12-24 | Inactive | Manager | IT | SubSL_2 | Canada | London | BI002 | Business | 2023-01-03 |
34921 | 4730 | Bronze | Active | HR | 2023-08-09 | Inactive | Director | Audit | SubSL_1 | UK | New York | BI002 | Technology | 2023-09-12 |
28882 | 3987 | Silver | Active | HR | 2022-10-03 | Active | Supervisor | Audit | SubSL_1 | Canada | Toronto | AI001 | Leadership | 2023-05-18 |
50846 | 4263 | Gold | Active | IT | 2022-10-28 | Inactive | Manager | Consulting | SubSL_2 | USA | London | TAX01 | Business | 2023-02-18 |
81079 | 7553 | Platinum | Inactive | Marketing | 2023-04-29 | Active | Supervisor | TAX | SubSL_3 | UK | New York | AI001 | Technology | 2023-04-18 |
34694 | 4782 | Gold | Active | IT | 2023-04-07 | Active | Supervisor | Consulting | SubSL_2 | Canada | London | DS02 | NaN | 2023-01-17 |
75282 | 7379 | Silver | Active | Data Strategy | 2022-10-01 | Active | Supervisor | RMS | SubSL_1 | UK | Toronto | AI001 | Leadership | 2023-07-08 |
28448 | 3680 | Gold | Active | Data Strategy | 2023-06-03 | Inactive | Manager | RMS | SubSL_1 | USA | London | BI002 | Leadership | 2023-02-25 |
55695 | 5088 | Silver | Active | HR | 2023-05-20 | Inactive | Manager | RMS | SubSL_2 | USA | London | BI002 | Business | 2023-03-11 |
73837 | 4248 | Gold | Inactive | Marketing | 2023-09-10 | Active | Employee | TAX | SubSL_2 | USA | Los Angeles | TAX01 | Technology | 2023-02-02 |
49378 | 2475 | Silver | Active | IT | 2023-07-12 | Inactive | Director | Audit | SubSL_2 | Canada | New York | BI002 | Business | 2023-03-11 |
99188 | 4190 | Silver | Active | Marketing | 2022-11-05 | Inactive | Director | IT | SubSL_1 | Canada | New York | DS02 | Technology | 2023-01-03 |
51151 | 2525 | Silver | Inactive | IT | 2023-07-14 | Inactive | Supervisor | Consulting | SubSL_2 | Canada | Toronto | AI001 | Technology | 2023-05-11 |
27919 | 5487 | Silver | Active | Finance | 2022-10-13 | Active | Manager | Audit | SubSL_3 | USA | New York | DS02 | Leadership | 2023-05-14 |
55718 | 2386 | Bronze | Inactive | IT | 2023-07-11 | Active | Supervisor | Consulting | SubSL_3 | USA | Los Angeles | AI001 | NaN | 2023-08-24 |
17900 | 9710 | Gold | Active | Finance | 2023-01-01 | Inactive | Supervisor | Consulting | SubSL_3 | UK | London | AI001 | NaN | 2023-05-22 |
97985 | 2755 | Platinum | Active | HR | 2023-06-04 | Inactive | Supervisor | RMS | SubSL_3 | Canada | New York | AI001 | NaN | 2023-06-25 |
81622 | 2494 | Bronze | Inactive | Data Strategy | 2023-06-17 | Active | Employee | IT | SubSL_2 | UK | London | AI001 | NaN | 2022-11-30 |
58062 | 5356 | Silver | Inactive | Marketing | 2023-04-17 | Inactive | Supervisor | Consulting | SubSL_3 | USA | Los Angeles | DS02 | Technology | 2023-04-09 |
33613 | 1972 | Silver | Inactive | Marketing | 2022-11-21 | Inactive | Manager | Consulting | SubSL_3 | UK | New York | BI002 | NaN | 2023-04-09 |
19962 | 3521 | Platinum | Active | Data Strategy | 2023-07-13 | Inactive | Manager | IT | SubSL_1 | USA | Toronto | DS02 | Business | 2023-04-20 |
65289 | 4866 | Silver | Inactive | HR | 2023-05-20 | Inactive | Director | Audit | SubSL_3 | USA | Los Angeles | TAX01 | Business | 2023-06-22 |
81493 | 9001 | Silver | Inactive | Marketing | 2022-10-16 | Active | Director | TAX | SubSL_1 | UK | New York | TAX01 | NaN | 2022-12-28 |
97855 | 4688 | Gold | Inactive | Finance | 2023-03-26 | Inactive | Manager | TAX | SubSL_1 | USA | New York | BI002 | Business | 2023-03-24 |
38466 | 2252 | Gold | Active | Marketing | 2022-11-05 | Active | Employee | RMS | SubSL_3 | USA | London | TAX01 | Leadership | 2023-04-10 |
51220 | 1332 | Platinum | Inactive | Finance | 2023-02-01 | Active | Supervisor | TAX | SubSL_3 | USA | London | BI002 | Business | 2023-03-23 |
45060 | 5453 | Platinum | Active | Marketing | 2023-05-15 | Active | Director | Audit | SubSL_2 | Canada | Los Angeles | AI001 | Technology | 2023-09-01 |
70195 | 5419 | Bronze | Active | Finance | 2023-04-30 | Active | Manager | Consulting | SubSL_1 | UK | Toronto | DS02 | Technology | 2023-01-07 |
79780 | 4738 | Platinum | Inactive | Finance | 2023-05-13 | Active | Supervisor | Audit | SubSL_1 | UK | London | DS02 | Business | 2023-07-23 |
29494 | 8453 | Silver | Inactive | IT | 2023-08-20 | Active | Manager | IT | SubSL_3 | UK | Los Angeles | BI002 | Technology | 2023-06-24 |
37513 | 2529 | Silver | Inactive | Marketing | 2022-12-06 | Active | Employee | IT | SubSL_1 | USA | Los Angeles | BI002 | Leadership | 2023-06-11 |
38158 | 2731 | Gold | Inactive | Data Strategy | 2023-09-05 | Active | Employee | IT | SubSL_2 | USA | New York | BI002 | NaN | 2023-05-28 |
66816 | 8556 | Bronze | Active | IT | 2023-04-14 | Active | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | BI002 | NaN | 2023-08-07 |
55658 | 5353 | Gold | Inactive | HR | 2022-12-16 | Active | Supervisor | IT | SubSL_2 | USA | Los Angeles | AI001 | NaN | 2023-06-15 |
94764 | 7383 | Silver | Active | Marketing | 2023-07-18 | Inactive | Manager | Audit | SubSL_2 | Canada | Toronto | BI002 | Technology | 2022-10-10 |
34550 | 9243 | Bronze | Active | IT | 2023-04-04 | Active | Director | RMS | SubSL_2 | Canada | Toronto | AI001 | Business | 2023-07-17 |
16442 | 7164 | Silver | Active | Marketing | 2022-12-22 | Inactive | Director | Audit | SubSL_2 | UK | New York | BI002 | NaN | 2023-09-13 |
75172 | 9286 | Platinum | Active | HR | 2023-05-02 | Active | Director | IT | SubSL_3 | USA | New York | TAX01 | Leadership | 2023-04-14 |
35321 | 8934 | Platinum | Active | Data Strategy | 2022-12-22 | Inactive | Supervisor | Audit | SubSL_2 | Canada | New York | TAX01 | Business | 2023-01-08 |
19925 | 2231 | Platinum | Inactive | Finance | 2023-03-01 | Active | Supervisor | TAX | SubSL_2 | USA | Toronto | DS02 | Technology | 2022-12-14 |
30135 | 9874 | Gold | Active | IT | 2022-11-24 | Inactive | Employee | RMS | SubSL_3 | USA | London | BI002 | NaN | 2023-06-11 |
29221 | 9118 | Silver | Active | HR | 2023-09-15 | Active | Manager | IT | SubSL_2 | UK | New York | DS02 | Business | 2023-06-04 |
14217 | 8369 | Platinum | Active | Finance | 2022-10-13 | Inactive | Supervisor | RMS | SubSL_1 | UK | New York | DS02 | NaN | 2022-10-19 |
73712 | 9918 | Platinum | Inactive | Data Strategy | 2023-02-25 | Inactive | Manager | IT | SubSL_1 | USA | Los Angeles | BI002 | Leadership | 2023-06-17 |
34854 | 4169 | Gold | Active | IT | 2022-12-19 | Active | Employee | RMS | SubSL_3 | Canada | London | BI002 | Business | 2023-06-30 |
70760 | 6152 | Bronze | Active | Marketing | 2023-07-20 | Active | Employee | TAX | SubSL_1 | Canada | Toronto | AI001 | Leadership | 2022-11-21 |
13437 | 9147 | Gold | Active | Marketing | 2023-06-01 | Active | Director | Consulting | SubSL_1 | USA | Toronto | DS02 | Leadership | 2023-08-12 |
64802 | 7601 | Platinum | Inactive | Data Strategy | 2023-05-16 | Active | Director | IT | SubSL_1 | Canada | Los Angeles | DS02 | Technology | 2023-02-09 |
47541 | 6697 | Gold | Active | Finance | 2022-12-19 | Active | Supervisor | TAX | SubSL_1 | Canada | Toronto | TAX01 | Leadership | 2023-01-29 |
17379 | 3685 | Platinum | Inactive | IT | 2022-09-21 | Inactive | Manager | TAX | SubSL_2 | UK | Toronto | AI001 | Business | 2022-12-18 |
33223 | 9093 | Gold | Active | Finance | 2023-06-13 | Active | Employee | RMS | SubSL_1 | UK | London | BI002 | NaN | 2023-07-27 |
20201 | 8832 | Bronze | Inactive | HR | 2023-03-24 | Inactive | Manager | RMS | SubSL_1 | Canada | New York | DS02 | Technology | 2023-08-08 |
82652 | 4882 | Silver | Inactive | HR | 2023-01-31 | Active | Supervisor | IT | SubSL_2 | Canada | Toronto | TAX01 | NaN | 2022-10-08 |
93521 | 6101 | Platinum | Active | Marketing | 2022-11-03 | Inactive | Manager | TAX | SubSL_3 | UK | Toronto | BI002 | NaN | 2023-03-26 |
40745 | 7829 | Gold | Active | IT | 2023-03-25 | Active | Supervisor | TAX | SubSL_1 | USA | Toronto | DS02 | NaN | 2022-10-29 |
36847 | 8332 | Gold | Inactive | Data Strategy | 2023-05-01 | Active | Supervisor | Consulting | SubSL_3 | USA | London | AI001 | Business | 2023-02-04 |
40459 | 3883 | Silver | Active | Finance | 2023-02-06 | Inactive | Manager | Audit | SubSL_2 | USA | Los Angeles | DS02 | Leadership | 2022-10-25 |
25256 | 6682 | Platinum | Inactive | Marketing | 2022-11-08 | Active | Employee | Consulting | SubSL_2 | USA | Los Angeles | TAX01 | NaN | 2023-03-20 |
23273 | 2679 | Gold | Active | Data Strategy | 2023-08-06 | Inactive | Manager | RMS | SubSL_2 | USA | Toronto | AI001 | NaN | 2023-04-25 |
98160 | 2598 | Silver | Active | IT | 2022-10-20 | Active | Director | Consulting | SubSL_1 | USA | Los Angeles | DS02 | NaN | 2023-07-11 |
32531 | 6981 | Bronze | Inactive | Data Strategy | 2022-12-26 | Active | Manager | TAX | SubSL_1 | UK | London | DS02 | Leadership | 2023-03-06 |
91688 | 3510 | Bronze | Active | Finance | 2023-05-18 | Inactive | Director | IT | SubSL_2 | UK | Toronto | AI001 | Business | 2022-11-06 |
13200 | 1557 | Gold | Inactive | Data Strategy | 2022-12-23 | Inactive | Employee | IT | SubSL_1 | UK | Toronto | DS02 | Technology | 2022-10-12 |
69056 | 9068 | Platinum | Inactive | HR | 2023-08-15 | Inactive | Employee | TAX | SubSL_2 | UK | Los Angeles | BI002 | NaN | 2023-07-01 |
79333 | 8657 | Bronze | Inactive | Marketing | 2023-04-17 | Active | Director | Audit | SubSL_1 | Canada | London | TAX01 | NaN | 2022-10-31 |
80671 | 8689 | Bronze | Inactive | HR | 2022-09-21 | Active | Director | Audit | SubSL_2 | USA | London | AI001 | Technology | 2023-09-03 |
53569 | 3904 | Bronze | Active | Marketing | 2022-11-03 | Active | Supervisor | TAX | SubSL_3 | Canada | Los Angeles | AI001 | Leadership | 2023-06-30 |
83316 | 6759 | Bronze | Inactive | Finance | 2023-05-28 | Active | Supervisor | TAX | SubSL_2 | UK | Los Angeles | DS02 | Technology | 2023-04-29 |
12245 | 6353 | Silver | Inactive | HR | 2023-06-05 | Inactive | Employee | IT | SubSL_3 | UK | Los Angeles | BI002 | Business | 2023-01-30 |
83058 | 6538 | Bronze | Inactive | Marketing | 2022-11-28 | Inactive | Manager | IT | SubSL_1 | USA | Toronto | AI001 | Leadership | 2023-07-18 |
56552 | 2700 | Gold | Inactive | HR | 2023-03-03 | Inactive | Supervisor | Audit | SubSL_2 | Canada | London | AI001 | Technology | 2022-10-03 |
87255 | 5027 | Silver | Inactive | Data Strategy | 2023-02-02 | Active | Employee | Consulting | SubSL_1 | USA | Los Angeles | AI001 | Business | 2023-01-24 |
70546 | 7630 | Gold | Active | Marketing | 2023-09-15 | Inactive | Supervisor | RMS | SubSL_2 | UK | Toronto | AI001 | NaN | 2023-09-12 |
48311 | 4800 | Bronze | Inactive | Data Strategy | 2023-02-24 | Inactive | Director | Consulting | SubSL_3 | Canada | New York | TAX01 | Leadership | 2023-06-01 |
91841 | 5433 | Gold | Active | HR | 2023-07-03 | Inactive | Supervisor | Consulting | SubSL_2 | USA | Los Angeles | AI001 | NaN | 2022-10-14 |
31389 | 2859 | Platinum | Inactive | IT | 2022-12-09 | Active | Manager | Consulting | SubSL_2 | USA | London | TAX01 | NaN | 2022-10-31 |
70578 | 4967 | Platinum | Active | Finance | 2022-12-17 | Active | Employee | IT | SubSL_2 | UK | New York | BI002 | Technology | 2023-07-13 |
11959 | 8353 | Gold | Active | Marketing | 2023-03-26 | Active | Manager | TAX | SubSL_3 | UK | New York | AI001 | NaN | 2023-04-28 |
14142 | 4456 | Platinum | Active | Data Strategy | 2022-10-26 | Inactive | Director | IT | SubSL_2 | USA | Los Angeles | TAX01 | Leadership | 2023-08-13 |
67875 | 7661 | Gold | Active | HR | 2022-12-19 | Active | Director | RMS | SubSL_1 | USA | Los Angeles | AI001 | NaN | 2023-09-07 |
91594 | 7119 | Gold | Inactive | IT | 2023-06-08 | Inactive | Manager | IT | SubSL_3 | Canada | Toronto | TAX01 | Business | 2023-01-13 |
52683 | 4664 | Gold | Inactive | Data Strategy | 2023-06-08 | Inactive | Manager | Audit | SubSL_2 | USA | Toronto | AI001 | Technology | 2022-10-13 |
57539 | 7980 | Platinum | Inactive | HR | 2023-02-02 | Inactive | Director | Consulting | SubSL_2 | USA | New York | TAX01 | Technology | 2023-04-19 |
42651 | 4407 | Silver | Active | Finance | 2022-09-23 | Active | Employee | Audit | SubSL_2 | USA | Los Angeles | TAX01 | Leadership | 2023-03-22 |
35728 | 5476 | Gold | Active | Finance | 2023-09-07 | Inactive | Employee | IT | SubSL_1 | USA | New York | DS02 | Technology | 2022-10-11 |
18364 | 8850 | Gold | Active | IT | 2023-06-26 | Active | Manager | TAX | SubSL_1 | Canada | New York | BI002 | NaN | 2023-01-29 |
70117 | 5539 | Bronze | Inactive | HR | 2023-04-28 | Active | Supervisor | TAX | SubSL_3 | UK | London | DS02 | Technology | 2023-06-27 |
11399 | 9110 | Gold | Active | IT | 2023-05-14 | Inactive | Director | RMS | SubSL_1 | USA | Toronto | DS02 | Business | 2023-09-17 |
82813 | 7737 | Gold | Inactive | IT | 2023-08-19 | Active | Employee | TAX | SubSL_2 | USA | London | TAX01 | Technology | 2023-08-12 |
21874 | 3121 | Bronze | Inactive | IT | 2022-12-29 | Active | Director | Audit | SubSL_3 | UK | Toronto | BI002 | Leadership | 2022-11-07 |
52848 | 7036 | Silver | Inactive | IT | 2023-03-18 | Inactive | Supervisor | TAX | SubSL_3 | USA | Toronto | TAX01 | NaN | 2023-03-29 |
75609 | 6818 | Gold | Inactive | Marketing | 2023-06-15 | Active | Supervisor | Consulting | SubSL_2 | USA | Toronto | DS02 | Leadership | 2023-04-01 |
28951 | 2439 | Bronze | Inactive | Data Strategy | 2022-12-11 | Inactive | Manager | Audit | SubSL_1 | USA | Los Angeles | AI001 | Leadership | 2023-04-10 |
84519 | 3048 | Platinum | Active | Marketing | 2022-11-17 | Inactive | Employee | IT | SubSL_1 | Canada | Toronto | AI001 | Business | 2023-01-10 |
41738 | 4949 | Platinum | Inactive | Data Strategy | 2023-06-19 | Active | Manager | IT | SubSL_1 | Canada | London | BI002 | Technology | 2023-02-11 |
72929 | 8624 | Platinum | Inactive | Finance | 2023-07-27 | Active | Employee | RMS | SubSL_2 | USA | New York | AI001 | Leadership | 2023-02-28 |
43389 | 3388 | Silver | Inactive | Finance | 2023-06-02 | Inactive | Supervisor | IT | SubSL_2 | UK | London | AI001 | Leadership | 2023-04-01 |
10776 | 3852 | Platinum | Active | Marketing | 2023-08-29 | Inactive | Director | RMS | SubSL_3 | USA | Los Angeles | DS02 | NaN | 2023-07-19 |
71045 | 1860 | Gold | Active | IT | 2023-02-22 | Inactive | Employee | RMS | SubSL_3 | Canada | London | TAX01 | Leadership | 2022-12-29 |
71824 | 9161 | Bronze | Active | Data Strategy | 2022-11-14 | Active | Employee | Consulting | SubSL_1 | Canada | New York | AI001 | Business | 2022-11-29 |
65743 | 8789 | Bronze | Active | Data Strategy | 2023-03-15 | Inactive | Director | TAX | SubSL_2 | UK | Toronto | TAX01 | Business | 2023-06-10 |
64668 | 2285 | Silver | Active | Finance | 2022-12-02 | Active | Supervisor | IT | SubSL_1 | USA | London | AI001 | Leadership | 2023-04-20 |
73297 | 1676 | Gold | Active | Marketing | 2023-04-03 | Inactive | Supervisor | Consulting | SubSL_1 | USA | New York | DS02 | NaN | 2023-05-16 |
34108 | 9100 | Silver | Inactive | Marketing | 2023-06-29 | Inactive | Supervisor | TAX | SubSL_3 | UK | New York | TAX01 | Technology | 2023-05-11 |
38090 | 1612 | Silver | Inactive | HR | 2023-02-28 | Inactive | Supervisor | Consulting | SubSL_2 | Canada | London | BI002 | Leadership | 2023-03-08 |
73952 | 6476 | Gold | Active | Data Strategy | 2022-09-23 | Inactive | Employee | RMS | SubSL_1 | UK | London | TAX01 | Technology | 2023-06-05 |
89971 | 6232 | Gold | Active | IT | 2023-09-08 | Inactive | Supervisor | Consulting | SubSL_1 | USA | London | DS02 | NaN | 2023-02-16 |
13464 | 6919 | Gold | Inactive | Data Strategy | 2023-01-30 | Active | Director | IT | SubSL_1 | Canada | New York | DS02 | Leadership | 2023-02-02 |
79065 | 3701 | Platinum | Active | HR | 2023-08-29 | Active | Supervisor | TAX | SubSL_1 | Canada | London | DS02 | NaN | 2022-10-23 |
96076 | 7204 | Bronze | Inactive | Data Strategy | 2023-06-07 | Active | Employee | Consulting | SubSL_2 | UK | London | DS02 | Technology | 2023-06-24 |
49788 | 5083 | Silver | Inactive | HR | 2023-05-24 | Inactive | Employee | Consulting | SubSL_3 | USA | Los Angeles | AI001 | Business | 2023-01-02 |
68248 | 1315 | Bronze | Active | HR | 2023-07-24 | Active | Manager | IT | SubSL_3 | Canada | New York | TAX01 | Technology | 2022-09-21 |
85393 | 8299 | Platinum | Active | HR | 2022-10-18 | Active | Manager | IT | SubSL_2 | USA | London | BI002 | Business | 2023-07-14 |
92170 | 8381 | Bronze | Active | Data Strategy | 2023-01-07 | Active | Director | Audit | SubSL_1 | UK | New York | TAX01 | Leadership | 2022-11-12 |
30901 | 8342 | Bronze | Active | IT | 2023-06-11 | Inactive | Director | Consulting | SubSL_3 | UK | Los Angeles | TAX01 | Business | 2023-06-19 |
51725 | 3164 | Bronze | Inactive | Data Strategy | 2023-04-10 | Active | Supervisor | Consulting | SubSL_1 | Canada | Los Angeles | DS02 | Technology | 2023-07-25 |
82779 | 2020 | Bronze | Active | IT | 2023-01-11 | Active | Manager | RMS | SubSL_2 | UK | London | DS02 | Technology | 2023-04-11 |
37733 | 4655 | Platinum | Inactive | IT | 2023-03-25 | Active | Director | RMS | SubSL_1 | USA | London | AI001 | Leadership | 2023-05-10 |
17441 | 7240 | Bronze | Inactive | HR | 2023-05-19 | Active | Employee | RMS | SubSL_1 | Canada | Los Angeles | TAX01 | Leadership | 2023-08-16 |
78987 | 9342 | Gold | Active | IT | 2023-07-19 | Inactive | Manager | Consulting | SubSL_3 | Canada | London | AI001 | Leadership | 2022-12-22 |
21683 | 2723 | Silver | Active | Marketing | 2023-09-13 | Active | Manager | TAX | SubSL_3 | USA | Los Angeles | DS02 | Technology | 2023-05-22 |
52114 | 1813 | Silver | Active | Data Strategy | 2023-01-26 | Inactive | Employee | IT | SubSL_2 | Canada | Los Angeles | AI001 | Leadership | 2023-01-09 |
18146 | 9505 | Bronze | Active | Finance | 2023-05-24 | Inactive | Supervisor | IT | SubSL_1 | UK | Los Angeles | DS02 | Leadership | 2022-10-21 |
26752 | 1867 | Silver | Active | IT | 2022-11-09 | Inactive | Director | IT | SubSL_2 | Canada | New York | BI002 | Business | 2022-12-07 |
21522 | 6535 | Gold | Active | Finance | 2023-06-20 | Active | Employee | RMS | SubSL_1 | USA | London | BI002 | NaN | 2023-07-13 |
30730 | 2203 | Bronze | Inactive | Finance | 2023-08-09 | Inactive | Manager | TAX | SubSL_1 | Canada | London | AI001 | Business | 2022-11-16 |
22362 | 7762 | Bronze | Active | Marketing | 2023-01-10 | Inactive | Director | Consulting | SubSL_3 | UK | New York | BI002 | NaN | 2023-05-10 |
47821 | 2578 | Gold | Active | HR | 2023-05-12 | Active | Supervisor | IT | SubSL_2 | USA | London | AI001 | Leadership | 2023-09-18 |
21637 | 5602 | Silver | Inactive | Finance | 2022-11-18 | Inactive | Director | RMS | SubSL_2 | Canada | New York | TAX01 | Technology | 2022-12-26 |
64022 | 7871 | Platinum | Inactive | IT | 2023-08-01 | Inactive | Manager | IT | SubSL_2 | Canada | New York | TAX01 | NaN | 2023-07-18 |
81257 | 8836 | Bronze | Inactive | IT | 2022-11-13 | Active | Manager | RMS | SubSL_3 | USA | New York | TAX01 | Technology | 2023-05-24 |
36675 | 5531 | Bronze | Inactive | Finance | 2022-10-03 | Active | Supervisor | Audit | SubSL_1 | Canada | New York | AI001 | Technology | 2023-08-27 |
95793 | 2414 | Gold | Active | Marketing | 2023-06-08 | Active | Supervisor | IT | SubSL_1 | Canada | Los Angeles | BI002 | NaN | 2022-09-21 |
66853 | 6414 | Bronze | Active | Finance | 2023-02-11 | Inactive | Manager | Audit | SubSL_2 | Canada | London | TAX01 | Technology | 2023-07-19 |
12266 | 4963 | Gold | Inactive | Finance | 2022-10-18 | Inactive | Director | Audit | SubSL_1 | UK | New York | TAX01 | Leadership | 2022-12-23 |
78442 | 1511 | Gold | Active | HR | 2023-03-18 | Active | Manager | TAX | SubSL_3 | UK | New York | DS02 | Technology | 2023-01-23 |
73658 | 7969 | Silver | Inactive | Finance | 2022-10-17 | Active | Manager | Consulting | SubSL_3 | Canada | Toronto | BI002 | NaN | 2023-02-12 |
46578 | 8816 | Silver | Inactive | HR | 2023-01-20 | Inactive | Employee | TAX | SubSL_3 | UK | New York | DS02 | Technology | 2023-08-15 |
46763 | 3358 | Silver | Inactive | Finance | 2022-09-24 | Active | Supervisor | Consulting | SubSL_2 | UK | Los Angeles | BI002 | Leadership | 2023-07-11 |
50587 | 1921 | Silver | Inactive | IT | 2023-02-08 | Inactive | Employee | RMS | SubSL_1 | UK | Toronto | AI001 | NaN | 2022-10-07 |
48663 | 8442 | Silver | Inactive | Finance | 2023-04-27 | Active | Supervisor | Audit | SubSL_3 | Canada | Toronto | DS02 | Technology | 2023-08-27 |
93701 | 6222 | Platinum | Active | IT | 2023-06-19 | Inactive | Employee | RMS | SubSL_1 | UK | London | DS02 | NaN | 2023-02-21 |
14012 | 8338 | Bronze | Inactive | Marketing | 2023-05-23 | Inactive | Director | TAX | SubSL_3 | Canada | London | TAX01 | NaN | 2023-02-23 |
62971 | 3297 | Bronze | Inactive | Finance | 2023-05-03 | Inactive | Manager | Audit | SubSL_2 | USA | Toronto | TAX01 | NaN | 2023-06-05 |
60872 | 4325 | Bronze | Inactive | Marketing | 2023-01-10 | Active | Supervisor | IT | SubSL_3 | USA | London | DS02 | NaN | 2023-05-18 |
66000 | 1179 | Silver | Active | Data Strategy | 2023-01-14 | Inactive | Manager | TAX | SubSL_3 | Canada | Los Angeles | DS02 | Leadership | 2023-07-07 |
87283 | 7361 | Gold | Active | Marketing | 2023-03-14 | Active | Director | Consulting | SubSL_3 | UK | Los Angeles | DS02 | Business | 2023-06-10 |
54045 | 3950 | Gold | Inactive | HR | 2022-12-12 | Inactive | Director | Consulting | SubSL_3 | Canada | London | DS02 | Technology | 2023-08-15 |
99276 | 3410 | Bronze | Active | Finance | 2023-09-11 | Inactive | Employee | TAX | SubSL_1 | UK | Los Angeles | TAX01 | Business | 2023-06-12 |
95647 | 6490 | Silver | Inactive | IT | 2023-01-31 | Inactive | Manager | TAX | SubSL_3 | Canada | Los Angeles | AI001 | NaN | 2022-11-15 |
45411 | 3686 | Bronze | Inactive | Finance | 2023-08-05 | Inactive | Employee | IT | SubSL_2 | Canada | Los Angeles | BI002 | Technology | 2022-10-25 |
64914 | 8213 | Bronze | Active | Finance | 2023-05-13 | Active | Supervisor | IT | SubSL_2 | Canada | Los Angeles | DS02 | Leadership | 2023-04-16 |
66132 | 7221 | Bronze | Inactive | IT | 2023-02-13 | Inactive | Employee | Consulting | SubSL_1 | USA | New York | DS02 | NaN | 2023-03-08 |
93947 | 8326 | Gold | Inactive | Marketing | 2023-03-05 | Inactive | Employee | Consulting | SubSL_1 | USA | New York | TAX01 | Business | 2022-11-14 |
61291 | 9455 | Bronze | Active | HR | 2023-03-08 | Inactive | Supervisor | Audit | SubSL_3 | UK | Toronto | TAX01 | Technology | 2023-09-16 |
22791 | 3335 | Gold | Active | HR | 2023-06-22 | Active | Supervisor | Audit | SubSL_2 | Canada | Los Angeles | AI001 | Leadership | 2022-09-21 |
19776 | 3907 | Silver | Active | Data Strategy | 2023-02-27 | Inactive | Employee | IT | SubSL_2 | UK | Toronto | BI002 | NaN | 2023-04-29 |
20833 | 9622 | Bronze | Inactive | Data Strategy | 2023-05-14 | Inactive | Director | Audit | SubSL_3 | USA | Toronto | DS02 | Technology | 2023-07-13 |
45478 | 3940 | Gold | Inactive | Finance | 2022-10-25 | Active | Supervisor | IT | SubSL_1 | USA | Los Angeles | BI002 | Business | 2023-05-13 |
49548 | 2429 | Platinum | Active | IT | 2023-02-09 | Inactive | Director | RMS | SubSL_3 | Canada | New York | AI001 | Business | 2023-01-07 |
44907 | 6531 | Gold | Inactive | Marketing | 2022-12-24 | Inactive | Employee | Audit | SubSL_3 | Canada | New York | AI001 | Leadership | 2023-02-06 |
70137 | 4075 | Bronze | Active | Data Strategy | 2023-04-10 | Inactive | Employee | Audit | SubSL_1 | UK | Los Angeles | BI002 | Business | 2022-12-06 |
18012 | 8085 | Gold | Active | HR | 2022-10-07 | Active | Supervisor | Consulting | SubSL_1 | Canada | Los Angeles | AI001 | Business | 2022-11-06 |
79015 | 7774 | Bronze | Active | Finance | 2023-02-20 | Active | Director | IT | SubSL_2 | USA | New York | DS02 | NaN | 2023-04-11 |
86984 | 3300 | Gold | Active | Data Strategy | 2022-09-23 | Active | Director | IT | SubSL_2 | UK | London | TAX01 | Business | 2023-03-19 |
72709 | 2237 | Bronze | Inactive | Marketing | 2023-04-17 | Inactive | Director | RMS | SubSL_2 | UK | Los Angeles | AI001 | NaN | 2023-07-06 |
77362 | 4865 | Bronze | Inactive | IT | 2023-02-04 | Active | Manager | TAX | SubSL_1 | Canada | London | AI001 | NaN | 2023-09-09 |
65808 | 3617 | Platinum | Active | Data Strategy | 2023-01-04 | Active | Manager | Consulting | SubSL_2 | USA | London | BI002 | Technology | 2023-08-18 |
65449 | 9926 | Gold | Active | IT | 2023-04-13 | Active | Employee | TAX | SubSL_1 | UK | Los Angeles | AI001 | Business | 2023-05-09 |
13112 | 3457 | Bronze | Inactive | HR | 2023-08-24 | Active | Supervisor | Audit | SubSL_3 | Canada | New York | DS02 | NaN | 2023-01-16 |
53296 | 2014 | Bronze | Inactive | IT | 2022-10-28 | Inactive | Supervisor | RMS | SubSL_3 | USA | New York | BI002 | Technology | 2023-05-08 |
47355 | 2631 | Gold | Inactive | Data Strategy | 2023-09-18 | Inactive | Manager | Audit | SubSL_3 | USA | Los Angeles | TAX01 | Business | 2023-06-21 |
63902 | 3345 | Silver | Active | Finance | 2023-03-07 | Active | Director | Audit | SubSL_1 | UK | Toronto | DS02 | NaN | 2022-12-27 |
26616 | 1391 | Silver | Active | HR | 2022-11-12 | Active | Supervisor | RMS | SubSL_1 | UK | New York | BI002 | Technology | 2023-05-30 |
78291 | 2296 | Bronze | Inactive | Data Strategy | 2023-08-24 | Active | Director | Consulting | SubSL_1 | Canada | New York | TAX01 | NaN | 2022-11-02 |
75767 | 6267 | Silver | Active | HR | 2023-03-21 | Active | Supervisor | IT | SubSL_1 | USA | London | DS02 | Business | 2023-05-17 |
29232 | 2161 | Platinum | Inactive | HR | 2023-01-23 | Inactive | Director | Consulting | SubSL_3 | UK | Los Angeles | BI002 | Leadership | 2023-06-02 |
77383 | 9033 | Gold | Active | Marketing | 2023-03-25 | Active | Director | Audit | SubSL_1 | Canada | New York | AI001 | Leadership | 2023-08-16 |
94848 | 7172 | Gold | Inactive | Finance | 2022-09-21 | Inactive | Employee | TAX | SubSL_3 | UK | Los Angeles | DS02 | Business | 2023-06-12 |
68671 | 1819 | Silver | Inactive | Marketing | 2022-11-14 | Inactive | Manager | TAX | SubSL_3 | UK | London | AI001 | Technology | 2023-04-29 |
78431 | 6378 | Bronze | Active | Data Strategy | 2022-10-08 | Active | Employee | Consulting | SubSL_1 | Canada | Toronto | DS02 | Leadership | 2023-02-26 |
96378 | 7378 | Bronze | Inactive | Marketing | 2022-12-31 | Inactive | Manager | Consulting | SubSL_1 | USA | Toronto | DS02 | NaN | 2022-10-03 |
68481 | 4023 | Gold | Active | Finance | 2023-08-25 | Inactive | Manager | Consulting | SubSL_1 | Canada | New York | AI001 | Leadership | 2023-09-07 |
79580 | 7107 | Bronze | Active | Data Strategy | 2023-06-21 | Active | Director | Consulting | SubSL_1 | USA | New York | DS02 | NaN | 2022-10-03 |
46638 | 3721 | Gold | Active | IT | 2023-08-18 | Inactive | Director | TAX | SubSL_3 | USA | New York | DS02 | Technology | 2022-11-14 |
42384 | 7639 | Bronze | Inactive | IT | 2023-08-03 | Active | Supervisor | Audit | SubSL_3 | USA | Los Angeles | BI002 | NaN | 2022-11-29 |
39102 | 1344 | Silver | Inactive | Finance | 2023-08-25 | Inactive | Supervisor | Audit | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2023-03-18 |
40246 | 9181 | Silver | Active | Data Strategy | 2023-05-30 | Active | Manager | TAX | SubSL_3 | Canada | London | DS02 | NaN | 2022-09-27 |
51770 | 1774 | Bronze | Active | IT | 2023-02-08 | Inactive | Supervisor | IT | SubSL_2 | USA | London | TAX01 | Technology | 2023-05-13 |
55933 | 2066 | Platinum | Active | IT | 2023-05-30 | Active | Supervisor | IT | SubSL_3 | Canada | Los Angeles | TAX01 | NaN | 2023-01-13 |
85305 | 4396 | Gold | Inactive | Marketing | 2023-07-06 | Active | Employee | RMS | SubSL_2 | Canada | London | BI002 | Technology | 2023-09-17 |
98197 | 8087 | Bronze | Inactive | Finance | 2023-06-18 | Inactive | Manager | RMS | SubSL_3 | USA | New York | BI002 | Business | 2023-01-19 |
24860 | 6387 | Platinum | Inactive | Marketing | 2022-10-18 | Active | Director | IT | SubSL_2 | Canada | Los Angeles | AI001 | Technology | 2022-12-27 |
53995 | 5781 | Bronze | Inactive | IT | 2023-06-03 | Inactive | Supervisor | TAX | SubSL_1 | USA | New York | TAX01 | Leadership | 2023-03-09 |
41556 | 7223 | Gold | Active | IT | 2023-05-29 | Inactive | Director | RMS | SubSL_1 | USA | Toronto | TAX01 | Leadership | 2023-05-04 |
83850 | 3584 | Silver | Active | Marketing | 2023-01-20 | Inactive | Supervisor | TAX | SubSL_1 | UK | New York | TAX01 | Leadership | 2023-06-12 |
43004 | 3418 | Gold | Inactive | HR | 2022-10-15 | Inactive | Supervisor | Audit | SubSL_3 | UK | London | BI002 | NaN | 2023-05-13 |
78678 | 8214 | Gold | Active | IT | 2023-06-23 | Inactive | Director | RMS | SubSL_2 | UK | London | TAX01 | Leadership | 2022-10-19 |
83946 | 8332 | Gold | Inactive | IT | 2023-05-27 | Active | Employee | IT | SubSL_3 | UK | London | DS02 | Leadership | 2023-08-03 |
81709 | 1524 | Silver | Inactive | Data Strategy | 2023-03-15 | Inactive | Manager | Audit | SubSL_3 | USA | New York | AI001 | Technology | 2023-09-07 |
87410 | 9229 | Bronze | Active | Finance | 2023-07-02 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | BI002 | Leadership | 2023-03-14 |
77318 | 7983 | Gold | Active | IT | 2023-02-05 | Inactive | Director | RMS | SubSL_1 | USA | Los Angeles | DS02 | Business | 2023-02-08 |
48251 | 7591 | Gold | Inactive | Marketing | 2023-04-09 | Inactive | Employee | Consulting | SubSL_1 | UK | Los Angeles | DS02 | Technology | 2023-09-08 |
85861 | 4292 | Gold | Inactive | HR | 2022-12-28 | Inactive | Employee | Audit | SubSL_3 | Canada | Los Angeles | AI001 | Technology | 2023-04-18 |
74581 | 7736 | Gold | Active | HR | 2022-11-18 | Inactive | Supervisor | IT | SubSL_2 | Canada | New York | BI002 | Leadership | 2022-12-04 |
23153 | 6926 | Silver | Inactive | Data Strategy | 2023-05-30 | Inactive | Director | TAX | SubSL_2 | Canada | London | TAX01 | Technology | 2023-02-15 |
63080 | 3501 | Gold | Inactive | HR | 2022-12-22 | Inactive | Manager | Consulting | SubSL_1 | Canada | New York | TAX01 | Leadership | 2023-07-08 |
47800 | 8484 | Gold | Active | Finance | 2023-05-16 | Inactive | Employee | TAX | SubSL_2 | UK | Toronto | DS02 | Technology | 2022-10-14 |
70903 | 3343 | Platinum | Active | IT | 2023-08-29 | Active | Employee | TAX | SubSL_2 | UK | Los Angeles | AI001 | Leadership | 2023-06-10 |
41561 | 9010 | Gold | Active | Marketing | 2022-09-27 | Inactive | Director | IT | SubSL_1 | Canada | Toronto | BI002 | Leadership | 2023-07-20 |
94094 | 4568 | Bronze | Active | IT | 2023-05-24 | Active | Director | TAX | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2022-10-13 |
21059 | 7105 | Platinum | Inactive | Marketing | 2023-01-11 | Active | Supervisor | TAX | SubSL_3 | Canada | Toronto | TAX01 | Leadership | 2023-08-21 |
52673 | 6896 | Platinum | Active | IT | 2022-10-18 | Active | Director | Consulting | SubSL_2 | UK | Los Angeles | TAX01 | Leadership | 2023-02-25 |
93395 | 5921 | Bronze | Active | Data Strategy | 2023-03-22 | Inactive | Manager | IT | SubSL_1 | UK | London | BI002 | Leadership | 2023-01-09 |
57291 | 7300 | Platinum | Active | IT | 2022-11-08 | Inactive | Employee | IT | SubSL_2 | USA | Toronto | TAX01 | Business | 2023-04-23 |
79746 | 7667 | Silver | Inactive | Data Strategy | 2022-11-14 | Active | Employee | TAX | SubSL_1 | Canada | Los Angeles | TAX01 | NaN | 2023-09-14 |
93628 | 9632 | Platinum | Inactive | HR | 2023-04-04 | Inactive | Supervisor | RMS | SubSL_2 | Canada | Los Angeles | BI002 | Leadership | 2022-12-06 |
60363 | 1098 | Platinum | Active | Data Strategy | 2023-02-20 | Active | Employee | TAX | SubSL_2 | Canada | London | TAX01 | Leadership | 2023-06-08 |
79121 | 5810 | Bronze | Active | HR | 2023-03-16 | Inactive | Manager | RMS | SubSL_3 | Canada | Los Angeles | AI001 | Business | 2022-10-07 |
82577 | 9689 | Gold | Inactive | Finance | 2023-02-02 | Inactive | Employee | TAX | SubSL_3 | Canada | Toronto | BI002 | Technology | 2022-11-01 |
29484 | 1601 | Platinum | Active | Data Strategy | 2023-04-05 | Active | Employee | TAX | SubSL_1 | USA | Los Angeles | TAX01 | Leadership | 2023-08-09 |
23454 | 1806 | Gold | Inactive | Finance | 2023-04-22 | Inactive | Manager | RMS | SubSL_3 | USA | London | TAX01 | Leadership | 2023-08-27 |
78659 | 5928 | Platinum | Inactive | Data Strategy | 2023-08-13 | Inactive | Manager | Consulting | SubSL_2 | USA | New York | AI001 | NaN | 2023-02-28 |
90326 | 5831 | Silver | Active | HR | 2022-12-06 | Inactive | Supervisor | Audit | SubSL_3 | Canada | Toronto | BI002 | Business | 2023-01-29 |
81451 | 1417 | Bronze | Active | Data Strategy | 2022-10-05 | Active | Supervisor | RMS | SubSL_2 | USA | Los Angeles | AI001 | Leadership | 2022-12-27 |
30237 | 9369 | Bronze | Inactive | Data Strategy | 2023-01-11 | Inactive | Director | Consulting | SubSL_1 | USA | New York | DS02 | Leadership | 2023-05-08 |
46737 | 4946 | Platinum | Active | Finance | 2023-08-17 | Inactive | Supervisor | IT | SubSL_1 | Canada | Los Angeles | DS02 | Business | 2023-06-28 |
29688 | 1802 | Gold | Active | Finance | 2023-03-30 | Inactive | Manager | IT | SubSL_1 | USA | Toronto | BI002 | NaN | 2023-08-14 |
55607 | 7791 | Silver | Active | HR | 2023-06-13 | Active | Employee | Consulting | SubSL_1 | UK | Los Angeles | AI001 | Technology | 2023-07-06 |
15269 | 8124 | Silver | Inactive | Marketing | 2023-08-09 | Active | Employee | TAX | SubSL_2 | Canada | London | AI001 | Leadership | 2022-11-23 |
82309 | 7744 | Silver | Inactive | Data Strategy | 2023-07-28 | Active | Manager | Audit | SubSL_3 | Canada | Los Angeles | BI002 | Leadership | 2023-02-04 |
46743 | 2787 | Bronze | Active | Data Strategy | 2022-11-20 | Inactive | Employee | TAX | SubSL_3 | USA | London | BI002 | Leadership | 2023-08-10 |
81355 | 6443 | Gold | Active | Data Strategy | 2023-01-25 | Inactive | Director | RMS | SubSL_2 | UK | Toronto | TAX01 | Business | 2023-01-26 |
72638 | 5871 | Gold | Inactive | Finance | 2022-10-11 | Inactive | Director | RMS | SubSL_3 | USA | New York | BI002 | Business | 2023-01-29 |
99676 | 2738 | Silver | Active | Data Strategy | 2022-10-29 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | DS02 | NaN | 2023-03-11 |
12661 | 3512 | Bronze | Active | Finance | 2023-01-13 | Active | Director | RMS | SubSL_3 | UK | London | AI001 | NaN | 2023-09-06 |
66761 | 2913 | Silver | Inactive | Finance | 2023-02-22 | Inactive | Employee | TAX | SubSL_3 | UK | Los Angeles | DS02 | Technology | 2023-06-24 |
17886 | 6436 | Silver | Active | Marketing | 2023-06-25 | Inactive | Director | IT | SubSL_1 | USA | New York | TAX01 | Business | 2023-02-11 |
83591 | 9615 | Silver | Inactive | Marketing | 2023-03-30 | Inactive | Employee | Audit | SubSL_2 | UK | New York | DS02 | Business | 2023-03-12 |
86651 | 2135 | Silver | Active | Finance | 2023-02-05 | Active | Supervisor | Consulting | SubSL_2 | UK | New York | AI001 | Technology | 2023-04-23 |
50303 | 6368 | Silver | Inactive | IT | 2023-02-26 | Active | Manager | Consulting | SubSL_2 | USA | Toronto | BI002 | Technology | 2023-03-05 |
17162 | 6596 | Silver | Active | Marketing | 2023-05-21 | Active | Manager | IT | SubSL_1 | UK | London | AI001 | Leadership | 2023-09-02 |
23826 | 2725 | Platinum | Inactive | Data Strategy | 2023-07-10 | Active | Employee | RMS | SubSL_3 | Canada | Los Angeles | TAX01 | Business | 2022-10-21 |
56621 | 7422 | Bronze | Active | Data Strategy | 2023-03-15 | Active | Supervisor | Consulting | SubSL_2 | UK | New York | BI002 | Technology | 2022-11-22 |
55869 | 8883 | Gold | Inactive | Finance | 2023-01-15 | Active | Manager | RMS | SubSL_2 | UK | London | TAX01 | Leadership | 2022-12-15 |
54848 | 2074 | Gold | Active | Marketing | 2023-07-04 | Active | Employee | Consulting | SubSL_2 | USA | New York | DS02 | Business | 2023-05-06 |
46072 | 5935 | Platinum | Active | Data Strategy | 2022-12-05 | Inactive | Manager | Consulting | SubSL_1 | USA | Los Angeles | AI001 | NaN | 2023-02-16 |
60720 | 2217 | Platinum | Active | Finance | 2022-11-05 | Inactive | Employee | TAX | SubSL_1 | Canada | New York | DS02 | Technology | 2023-08-07 |
49150 | 5498 | Gold | Inactive | HR | 2023-01-15 | Inactive | Employee | IT | SubSL_2 | Canada | Toronto | TAX01 | Leadership | 2023-09-12 |
62828 | 3833 | Platinum | Inactive | Data Strategy | 2023-01-30 | Active | Director | RMS | SubSL_1 | Canada | Los Angeles | TAX01 | Leadership | 2023-09-12 |
57459 | 3758 | Bronze | Active | Data Strategy | 2022-11-28 | Inactive | Employee | Audit | SubSL_3 | UK | London | AI001 | Business | 2022-09-23 |
78682 | 7588 | Silver | Inactive | Data Strategy | 2023-02-08 | Active | Manager | Consulting | SubSL_1 | Canada | New York | AI001 | NaN | 2023-04-30 |
56732 | 2789 | Gold | Inactive | HR | 2022-09-21 | Inactive | Employee | TAX | SubSL_3 | USA | New York | BI002 | NaN | 2022-11-24 |
26927 | 8461 | Silver | Active | Marketing | 2023-07-28 | Inactive | Manager | TAX | SubSL_3 | UK | Los Angeles | BI002 | NaN | 2022-11-09 |
52844 | 6574 | Platinum | Inactive | Marketing | 2023-03-27 | Inactive | Director | TAX | SubSL_3 | UK | London | BI002 | NaN | 2023-05-10 |
34584 | 3332 | Gold | Active | Data Strategy | 2022-11-21 | Active | Director | Consulting | SubSL_2 | UK | New York | AI001 | Leadership | 2022-12-15 |
37932 | 8145 | Silver | Active | Marketing | 2022-11-09 | Active | Manager | Consulting | SubSL_1 | Canada | New York | DS02 | Leadership | 2023-04-22 |
17515 | 4667 | Gold | Active | HR | 2023-02-14 | Inactive | Supervisor | TAX | SubSL_1 | UK | London | BI002 | NaN | 2023-08-19 |
31471 | 2528 | Platinum | Active | Marketing | 2022-12-12 | Inactive | Manager | Consulting | SubSL_2 | Canada | New York | DS02 | Technology | 2022-10-31 |
20829 | 5911 | Gold | Inactive | Data Strategy | 2023-06-26 | Active | Director | Audit | SubSL_1 | UK | Los Angeles | DS02 | Leadership | 2023-08-16 |
43722 | 3307 | Platinum | Active | HR | 2022-11-03 | Active | Director | TAX | SubSL_3 | USA | New York | AI001 | Technology | 2022-10-16 |
87788 | 2261 | Gold | Inactive | Marketing | 2022-11-05 | Inactive | Supervisor | TAX | SubSL_2 | USA | London | AI001 | Business | 2023-07-29 |
58773 | 9185 | Platinum | Active | Marketing | 2022-11-16 | Active | Director | TAX | SubSL_2 | Canada | Los Angeles | DS02 | Business | 2022-11-25 |
95883 | 3860 | Bronze | Inactive | Data Strategy | 2023-02-02 | Active | Supervisor | TAX | SubSL_2 | Canada | Los Angeles | AI001 | Business | 2023-07-21 |
35191 | 6104 | Platinum | Active | IT | 2023-02-18 | Active | Manager | Consulting | SubSL_1 | Canada | Toronto | AI001 | NaN | 2023-06-26 |
39610 | 3655 | Bronze | Active | HR | 2023-05-21 | Inactive | Supervisor | Consulting | SubSL_3 | Canada | Toronto | DS02 | Business | 2023-09-17 |
89110 | 8640 | Silver | Inactive | IT | 2022-12-26 | Active | Supervisor | IT | SubSL_2 | UK | Toronto | BI002 | Leadership | 2022-12-23 |
86377 | 4405 | Platinum | Inactive | IT | 2023-02-28 | Inactive | Supervisor | RMS | SubSL_2 | UK | Toronto | DS02 | NaN | 2023-07-27 |
35337 | 7082 | Platinum | Inactive | Finance | 2023-02-28 | Inactive | Supervisor | Audit | SubSL_2 | Canada | London | DS02 | NaN | 2023-03-17 |
85606 | 4479 | Gold | Active | HR | 2023-08-06 | Active | Supervisor | Audit | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-01-21 |
16294 | 4676 | Bronze | Active | Marketing | 2022-09-20 | Active | Supervisor | TAX | SubSL_2 | USA | London | DS02 | Technology | 2023-07-06 |
88784 | 8423 | Platinum | Active | Data Strategy | 2022-12-20 | Inactive | Director | IT | SubSL_3 | Canada | Toronto | AI001 | Business | 2023-04-04 |
47394 | 1097 | Platinum | Active | IT | 2022-11-22 | Inactive | Supervisor | TAX | SubSL_1 | Canada | Toronto | DS02 | Business | 2023-07-09 |
24305 | 8475 | Gold | Inactive | Data Strategy | 2023-07-31 | Inactive | Supervisor | Audit | SubSL_2 | UK | Los Angeles | AI001 | Technology | 2023-01-14 |
65269 | 9313 | Gold | Inactive | Data Strategy | 2022-11-04 | Active | Employee | Consulting | SubSL_3 | USA | New York | BI002 | Business | 2023-09-10 |
27472 | 9378 | Gold | Active | Marketing | 2022-12-26 | Active | Manager | RMS | SubSL_1 | Canada | New York | AI001 | NaN | 2023-04-20 |
84742 | 1466 | Gold | Active | Data Strategy | 2023-09-10 | Active | Director | IT | SubSL_2 | UK | Toronto | TAX01 | Technology | 2023-06-10 |
76538 | 5074 | Silver | Active | HR | 2023-06-27 | Active | Manager | Audit | SubSL_3 | Canada | New York | AI001 | NaN | 2023-01-06 |
78652 | 7955 | Platinum | Active | IT | 2023-04-10 | Active | Employee | Audit | SubSL_3 | USA | London | AI001 | Leadership | 2022-11-16 |
26971 | 5935 | Platinum | Active | HR | 2023-04-20 | Active | Employee | Audit | SubSL_3 | Canada | Toronto | AI001 | Technology | 2022-11-03 |
21099 | 8808 | Platinum | Inactive | IT | 2023-01-08 | Active | Employee | RMS | SubSL_3 | USA | Los Angeles | DS02 | NaN | 2023-05-02 |
84818 | 2039 | Bronze | Inactive | Marketing | 2023-07-16 | Active | Employee | IT | SubSL_3 | Canada | New York | DS02 | NaN | 2023-09-16 |
53247 | 3849 | Bronze | Active | Marketing | 2023-07-18 | Active | Supervisor | TAX | SubSL_1 | USA | London | AI001 | NaN | 2022-09-24 |
13977 | 4626 | Gold | Inactive | Finance | 2022-11-05 | Active | Manager | RMS | SubSL_2 | USA | New York | AI001 | Technology | 2022-10-24 |
44036 | 4581 | Silver | Active | Marketing | 2022-11-08 | Active | Director | Audit | SubSL_1 | Canada | New York | TAX01 | Technology | 2023-02-21 |
25166 | 4291 | Bronze | Active | Data Strategy | 2023-06-21 | Inactive | Director | Consulting | SubSL_3 | USA | Toronto | DS02 | NaN | 2023-02-20 |
73658 | 1822 | Platinum | Active | Data Strategy | 2023-06-30 | Inactive | Manager | Consulting | SubSL_3 | UK | New York | TAX01 | NaN | 2022-12-25 |
14678 | 7391 | Bronze | Active | Finance | 2023-09-05 | Inactive | Director | Audit | SubSL_3 | UK | Los Angeles | TAX01 | Leadership | 2023-04-03 |
93326 | 6109 | Gold | Inactive | Finance | 2022-12-31 | Active | Supervisor | TAX | SubSL_1 | USA | London | TAX01 | NaN | 2022-11-12 |
68432 | 8184 | Gold | Active | Finance | 2023-09-02 | Inactive | Manager | Audit | SubSL_1 | UK | New York | DS02 | Technology | 2023-02-06 |
22559 | 8078 | Gold | Inactive | IT | 2023-06-11 | Active | Director | IT | SubSL_1 | USA | New York | TAX01 | Leadership | 2022-12-05 |
87228 | 5282 | Gold | Inactive | Marketing | 2023-01-01 | Active | Employee | Audit | SubSL_1 | UK | London | BI002 | NaN | 2023-06-24 |
55269 | 1457 | Silver | Inactive | Data Strategy | 2023-03-21 | Active | Director | Consulting | SubSL_2 | Canada | Los Angeles | DS02 | NaN | 2023-07-03 |
90892 | 4335 | Bronze | Active | IT | 2023-06-26 | Inactive | Director | Audit | SubSL_1 | UK | Los Angeles | AI001 | NaN | 2023-01-16 |
43078 | 2191 | Platinum | Active | IT | 2022-11-17 | Active | Employee | Consulting | SubSL_1 | Canada | New York | DS02 | NaN | 2023-05-09 |
41872 | 9672 | Platinum | Active | Marketing | 2023-08-03 | Active | Employee | RMS | SubSL_2 | Canada | New York | AI001 | Technology | 2022-10-18 |
26033 | 7581 | Bronze | Active | Finance | 2023-04-06 | Active | Director | Consulting | SubSL_2 | Canada | Los Angeles | BI002 | NaN | 2023-05-23 |
19204 | 7452 | Silver | Active | HR | 2023-01-17 | Inactive | Supervisor | Consulting | SubSL_3 | Canada | Los Angeles | TAX01 | Technology | 2022-09-22 |
25254 | 6913 | Silver | Active | IT | 2023-05-26 | Active | Manager | RMS | SubSL_1 | UK | New York | TAX01 | Leadership | 2023-02-26 |
72605 | 2352 | Bronze | Inactive | Finance | 2023-05-03 | Active | Director | Audit | SubSL_3 | USA | Los Angeles | AI001 | Leadership | 2023-03-07 |
64665 | 7122 | Platinum | Inactive | IT | 2023-08-04 | Active | Director | RMS | SubSL_2 | Canada | New York | DS02 | Technology | 2023-08-28 |
56684 | 2399 | Silver | Inactive | Data Strategy | 2023-03-09 | Inactive | Director | Audit | SubSL_2 | USA | New York | AI001 | Business | 2022-11-12 |
29376 | 7331 | Silver | Active | HR | 2023-02-28 | Inactive | Employee | Consulting | SubSL_3 | USA | London | TAX01 | Business | 2023-06-12 |
39727 | 8441 | Bronze | Active | Marketing | 2023-05-11 | Inactive | Supervisor | TAX | SubSL_3 | UK | Los Angeles | DS02 | NaN | 2023-03-29 |
26688 | 6157 | Silver | Active | IT | 2023-05-18 | Inactive | Employee | Consulting | SubSL_1 | USA | London | DS02 | Technology | 2023-05-28 |
97017 | 7822 | Platinum | Inactive | IT | 2023-08-17 | Active | Director | IT | SubSL_1 | Canada | Toronto | TAX01 | Technology | 2023-03-10 |
76096 | 4960 | Silver | Active | Data Strategy | 2022-11-24 | Active | Employee | Audit | SubSL_1 | Canada | Toronto | DS02 | Business | 2023-06-01 |
35682 | 7626 | Silver | Active | HR | 2023-08-31 | Inactive | Employee | RMS | SubSL_2 | Canada | Los Angeles | BI002 | NaN | 2023-01-25 |
27085 | 3487 | Gold | Inactive | Marketing | 2023-03-11 | Inactive | Manager | TAX | SubSL_2 | Canada | Los Angeles | AI001 | Business | 2022-12-27 |
31580 | 6079 | Silver | Active | Data Strategy | 2023-04-29 | Active | Supervisor | TAX | SubSL_3 | UK | New York | BI002 | Business | 2023-02-05 |
70968 | 5759 | Gold | Active | Marketing | 2023-04-09 | Active | Supervisor | Consulting | SubSL_1 | UK | London | DS02 | NaN | 2022-11-16 |
61388 | 5249 | Gold | Active | Marketing | 2023-04-23 | Active | Employee | TAX | SubSL_3 | UK | Toronto | AI001 | Technology | 2023-08-29 |
93755 | 8022 | Gold | Active | Finance | 2023-03-06 | Active | Employee | IT | SubSL_2 | Canada | New York | BI002 | Technology | 2022-11-26 |
89111 | 6814 | Platinum | Inactive | Marketing | 2023-07-27 | Active | Director | TAX | SubSL_1 | USA | New York | AI001 | Technology | 2023-05-14 |
29502 | 9783 | Bronze | Active | HR | 2023-05-17 | Active | Manager | RMS | SubSL_2 | UK | Toronto | DS02 | Business | 2023-03-22 |
60957 | 9915 | Bronze | Active | HR | 2022-12-10 | Inactive | Supervisor | TAX | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-07-05 |
29227 | 5983 | Gold | Active | Data Strategy | 2023-02-23 | Inactive | Manager | IT | SubSL_1 | UK | Toronto | TAX01 | Technology | 2023-01-13 |
89837 | 4662 | Silver | Inactive | HR | 2023-07-15 | Inactive | Employee | TAX | SubSL_3 | UK | Toronto | BI002 | Technology | 2023-07-24 |
87309 | 9446 | Silver | Active | Finance | 2023-04-20 | Active | Manager | Consulting | SubSL_2 | USA | Toronto | TAX01 | Technology | 2023-01-28 |
48284 | 9026 | Silver | Inactive | Marketing | 2022-11-22 | Active | Director | IT | SubSL_1 | UK | Toronto | DS02 | Leadership | 2022-10-05 |
79246 | 2261 | Silver | Active | HR | 2023-07-08 | Active | Employee | TAX | SubSL_2 | USA | Toronto | AI001 | Technology | 2023-01-07 |
48985 | 5597 | Platinum | Active | Finance | 2022-11-06 | Inactive | Supervisor | TAX | SubSL_3 | USA | Los Angeles | AI001 | Leadership | 2023-05-07 |
64214 | 4310 | Bronze | Inactive | Marketing | 2023-03-07 | Active | Employee | IT | SubSL_2 | UK | New York | BI002 | Business | 2023-06-10 |
99333 | 4597 | Platinum | Active | Data Strategy | 2023-09-18 | Active | Employee | TAX | SubSL_3 | USA | Toronto | BI002 | NaN | 2023-07-13 |
40545 | 2448 | Silver | Inactive | Marketing | 2023-03-15 | Active | Director | Audit | SubSL_1 | Canada | Los Angeles | TAX01 | NaN | 2022-10-04 |
87233 | 3198 | Bronze | Inactive | Finance | 2023-04-29 | Inactive | Director | Audit | SubSL_2 | Canada | Toronto | BI002 | NaN | 2023-09-07 |
39539 | 5014 | Bronze | Inactive | IT | 2022-12-05 | Inactive | Employee | Consulting | SubSL_1 | UK | London | BI002 | NaN | 2023-05-03 |
89435 | 1308 | Gold | Inactive | IT | 2023-09-12 | Active | Employee | TAX | SubSL_1 | UK | New York | AI001 | NaN | 2023-01-09 |
31278 | 4148 | Platinum | Active | IT | 2023-07-24 | Inactive | Director | Consulting | SubSL_3 | USA | New York | DS02 | NaN | 2022-09-22 |
44039 | 6682 | Silver | Inactive | Marketing | 2023-04-08 | Active | Manager | TAX | SubSL_2 | UK | Los Angeles | DS02 | Business | 2023-09-16 |
22809 | 4610 | Silver | Inactive | Marketing | 2023-04-08 | Active | Employee | RMS | SubSL_3 | USA | Toronto | DS02 | Business | 2023-03-14 |
96921 | 1003 | Bronze | Active | Finance | 2023-05-16 | Inactive | Employee | TAX | SubSL_1 | Canada | Los Angeles | DS02 | Technology | 2023-09-19 |
28346 | 8164 | Gold | Inactive | Data Strategy | 2023-08-02 | Inactive | Director | RMS | SubSL_2 | Canada | London | TAX01 | Technology | 2023-07-29 |
97341 | 4582 | Silver | Active | Finance | 2023-08-06 | Active | Manager | TAX | SubSL_3 | UK | London | TAX01 | Leadership | 2022-10-30 |
53312 | 1953 | Gold | Active | Finance | 2023-09-15 | Inactive | Director | TAX | SubSL_1 | Canada | London | DS02 | Business | 2022-12-06 |
32728 | 8681 | Platinum | Active | Data Strategy | 2023-08-28 | Active | Manager | Audit | SubSL_1 | UK | Toronto | BI002 | Leadership | 2023-04-05 |
56525 | 5821 | Platinum | Active | Marketing | 2023-03-26 | Active | Employee | Audit | SubSL_1 | Canada | New York | TAX01 | Business | 2023-05-23 |
36131 | 7538 | Gold | Active | Finance | 2022-12-03 | Active | Director | TAX | SubSL_1 | UK | London | AI001 | Business | 2022-12-16 |
79481 | 5037 | Gold | Inactive | Marketing | 2023-08-24 | Active | Supervisor | Consulting | SubSL_1 | UK | Los Angeles | AI001 | Business | 2022-12-25 |
73265 | 4414 | Bronze | Active | Finance | 2023-02-20 | Inactive | Director | Consulting | SubSL_1 | UK | London | DS02 | Leadership | 2023-07-04 |
35355 | 6345 | Bronze | Active | Finance | 2023-03-29 | Inactive | Manager | RMS | SubSL_1 | Canada | Toronto | TAX01 | NaN | 2023-08-13 |
55615 | 3309 | Gold | Inactive | Finance | 2023-06-16 | Active | Supervisor | Consulting | SubSL_1 | Canada | Los Angeles | DS02 | Leadership | 2023-06-08 |
77462 | 2651 | Bronze | Inactive | HR | 2023-08-25 | Active | Employee | Consulting | SubSL_1 | Canada | Los Angeles | AI001 | Technology | 2023-05-01 |
71884 | 6782 | Bronze | Active | Data Strategy | 2022-11-25 | Inactive | Manager | RMS | SubSL_2 | UK | Toronto | DS02 | Technology | 2023-06-08 |
91482 | 3364 | Bronze | Active | Data Strategy | 2023-04-30 | Active | Manager | Audit | SubSL_1 | Canada | London | BI002 | Technology | 2023-04-01 |
88502 | 6020 | Silver | Active | HR | 2023-03-05 | Active | Manager | IT | SubSL_2 | UK | Toronto | AI001 | Leadership | 2022-10-27 |
47709 | 9469 | Gold | Inactive | HR | 2023-06-15 | Inactive | Manager | TAX | SubSL_1 | UK | Toronto | BI002 | Leadership | 2023-08-14 |
14533 | 9349 | Platinum | Inactive | HR | 2022-12-07 | Active | Supervisor | Audit | SubSL_2 | UK | New York | BI002 | NaN | 2023-05-19 |
48480 | 5729 | Bronze | Inactive | IT | 2023-04-14 | Inactive | Supervisor | RMS | SubSL_3 | USA | Toronto | DS02 | Leadership | 2023-08-22 |
92393 | 1521 | Gold | Inactive | Marketing | 2023-07-05 | Inactive | Director | RMS | SubSL_1 | Canada | Toronto | BI002 | Business | 2023-06-10 |
83693 | 4101 | Platinum | Inactive | IT | 2023-01-11 | Inactive | Manager | Audit | SubSL_1 | USA | New York | AI001 | Technology | 2023-01-23 |
94014 | 2005 | Silver | Active | Finance | 2023-03-28 | Active | Director | IT | SubSL_1 | UK | New York | TAX01 | NaN | 2023-06-02 |
11245 | 7586 | Platinum | Inactive | Finance | 2023-05-13 | Inactive | Director | Consulting | SubSL_2 | Canada | New York | DS02 | Business | 2023-07-09 |
15669 | 4126 | Silver | Inactive | HR | 2023-01-16 | Active | Supervisor | Consulting | SubSL_2 | Canada | Toronto | TAX01 | Leadership | 2023-06-24 |
29074 | 8097 | Bronze | Inactive | HR | 2022-10-23 | Active | Employee | TAX | SubSL_2 | UK | Toronto | BI002 | NaN | 2022-11-07 |
58077 | 3607 | Platinum | Inactive | Finance | 2022-11-11 | Inactive | Director | Consulting | SubSL_3 | UK | London | AI001 | Business | 2022-12-28 |
88983 | 9589 | Silver | Active | Finance | 2023-01-19 | Inactive | Director | Consulting | SubSL_2 | USA | New York | BI002 | Business | 2022-11-18 |
26807 | 2831 | Silver | Active | IT | 2022-09-20 | Inactive | Director | RMS | SubSL_3 | Canada | Toronto | TAX01 | Technology | 2023-03-27 |
25019 | 5192 | Platinum | Active | Marketing | 2023-04-27 | Inactive | Manager | Audit | SubSL_2 | USA | Los Angeles | TAX01 | Technology | 2023-04-17 |
73441 | 4677 | Silver | Active | Data Strategy | 2023-05-30 | Inactive | Employee | Consulting | SubSL_1 | UK | London | BI002 | Business | 2022-09-30 |
99694 | 4492 | Bronze | Active | Finance | 2023-01-13 | Inactive | Director | TAX | SubSL_1 | USA | New York | DS02 | Technology | 2023-01-30 |
96958 | 4200 | Silver | Inactive | Data Strategy | 2022-12-16 | Inactive | Supervisor | RMS | SubSL_3 | USA | New York | AI001 | Technology | 2023-07-28 |
58013 | 6818 | Silver | Inactive | HR | 2022-09-25 | Inactive | Employee | Audit | SubSL_2 | UK | Los Angeles | BI002 | Technology | 2023-08-12 |
19952 | 9374 | Silver | Active | Finance | 2023-08-11 | Active | Manager | TAX | SubSL_2 | UK | Toronto | TAX01 | NaN | 2022-11-16 |
68819 | 4717 | Silver | Inactive | Data Strategy | 2022-10-15 | Inactive | Director | RMS | SubSL_1 | Canada | London | DS02 | Technology | 2023-03-06 |
52989 | 4035 | Platinum | Inactive | Marketing | 2023-03-13 | Inactive | Manager | IT | SubSL_3 | Canada | New York | TAX01 | Business | 2023-07-02 |
25745 | 9572 | Silver | Active | Marketing | 2022-11-03 | Inactive | Manager | Consulting | SubSL_1 | USA | Toronto | TAX01 | Business | 2023-03-06 |
42140 | 2484 | Gold | Active | Data Strategy | 2023-05-04 | Inactive | Director | IT | SubSL_1 | UK | London | DS02 | Technology | 2023-09-11 |
47305 | 2005 | Gold | Inactive | IT | 2023-06-13 | Active | Manager | IT | SubSL_3 | USA | Los Angeles | BI002 | NaN | 2023-03-16 |
66405 | 1104 | Silver | Inactive | Data Strategy | 2022-10-15 | Active | Director | RMS | SubSL_3 | USA | Los Angeles | DS02 | NaN | 2023-03-16 |
34921 | 4431 | Silver | Inactive | Finance | 2023-02-17 | Active | Manager | Audit | SubSL_3 | UK | Los Angeles | AI001 | Business | 2022-12-25 |
41361 | 3010 | Bronze | Inactive | IT | 2023-08-05 | Inactive | Director | TAX | SubSL_1 | Canada | London | BI002 | Technology | 2023-07-10 |
64164 | 6415 | Silver | Inactive | HR | 2023-02-07 | Active | Manager | Consulting | SubSL_3 | Canada | London | AI001 | Business | 2022-11-24 |
62139 | 7908 | Platinum | Inactive | IT | 2023-03-09 | Inactive | Supervisor | IT | SubSL_1 | USA | London | DS02 | NaN | 2022-11-19 |
67106 | 2369 | Bronze | Active | Finance | 2023-08-30 | Inactive | Supervisor | TAX | SubSL_3 | UK | Los Angeles | TAX01 | Business | 2023-07-24 |
60631 | 1441 | Bronze | Inactive | Marketing | 2023-02-21 | Inactive | Manager | Audit | SubSL_2 | USA | Toronto | AI001 | Leadership | 2022-09-25 |
70903 | 4417 | Gold | Inactive | Finance | 2023-01-28 | Active | Employee | Audit | SubSL_3 | UK | Los Angeles | AI001 | Business | 2023-08-22 |
58002 | 7893 | Silver | Active | Data Strategy | 2023-08-22 | Inactive | Supervisor | RMS | SubSL_1 | Canada | Los Angeles | BI002 | NaN | 2023-05-21 |
94935 | 3702 | Silver | Active | Marketing | 2022-09-19 | Active | Manager | Audit | SubSL_2 | UK | London | AI001 | Business | 2023-03-22 |
33910 | 6136 | Platinum | Active | IT | 2023-09-02 | Active | Supervisor | RMS | SubSL_3 | USA | Los Angeles | BI002 | NaN | 2022-12-31 |
75657 | 1379 | Gold | Inactive | Finance | 2023-06-28 | Inactive | Director | Consulting | SubSL_1 | UK | London | AI001 | Technology | 2023-08-31 |
32249 | 9287 | Bronze | Active | Data Strategy | 2023-01-03 | Inactive | Manager | IT | SubSL_2 | UK | London | DS02 | Leadership | 2023-09-16 |
64664 | 9556 | Silver | Active | Data Strategy | 2023-08-16 | Inactive | Director | Consulting | SubSL_3 | Canada | New York | DS02 | Leadership | 2022-12-02 |
33937 | 8278 | Silver | Inactive | Marketing | 2022-10-21 | Active | Supervisor | RMS | SubSL_1 | Canada | New York | BI002 | NaN | 2023-03-18 |
37259 | 6949 | Bronze | Active | IT | 2023-04-13 | Inactive | Employee | TAX | SubSL_2 | UK | London | TAX01 | Technology | 2023-01-16 |
14574 | 3373 | Gold | Inactive | Marketing | 2023-01-31 | Active | Supervisor | TAX | SubSL_2 | UK | Los Angeles | AI001 | Leadership | 2023-09-09 |
99607 | 7619 | Platinum | Inactive | HR | 2023-03-23 | Active | Manager | TAX | SubSL_2 | UK | London | AI001 | Leadership | 2022-11-27 |
30263 | 6124 | Silver | Active | Marketing | 2023-06-14 | Inactive | Supervisor | IT | SubSL_1 | Canada | Los Angeles | AI001 | Leadership | 2023-05-27 |
55985 | 7400 | Bronze | Active | IT | 2023-05-12 | Active | Manager | Consulting | SubSL_1 | Canada | Los Angeles | DS02 | NaN | 2023-04-11 |
28641 | 3047 | Silver | Active | Marketing | 2023-03-05 | Active | Manager | IT | SubSL_2 | UK | Toronto | DS02 | Business | 2022-11-01 |
40658 | 3885 | Gold | Active | IT | 2023-07-03 | Inactive | Director | IT | SubSL_1 | Canada | New York | DS02 | Business | 2023-05-06 |
70383 | 1923 | Bronze | Inactive | Marketing | 2023-08-06 | Inactive | Director | IT | SubSL_1 | UK | London | AI001 | NaN | 2023-04-19 |
60811 | 1191 | Platinum | Inactive | Finance | 2023-04-03 | Active | Supervisor | Audit | SubSL_2 | UK | Los Angeles | BI002 | Leadership | 2022-12-13 |
47208 | 6136 | Platinum | Active | Data Strategy | 2023-04-10 | Inactive | Manager | IT | SubSL_3 | UK | London | DS02 | Technology | 2023-06-21 |
59960 | 7884 | Platinum | Active | Marketing | 2023-03-11 | Inactive | Manager | Audit | SubSL_3 | USA | New York | TAX01 | NaN | 2023-08-30 |
24104 | 4491 | Silver | Active | Data Strategy | 2023-08-15 | Inactive | Employee | IT | SubSL_1 | Canada | New York | DS02 | Leadership | 2023-04-28 |
36667 | 6875 | Bronze | Active | IT | 2023-06-30 | Active | Employee | IT | SubSL_1 | USA | London | BI002 | Leadership | 2023-01-17 |
72744 | 1845 | Platinum | Inactive | IT | 2022-12-20 | Active | Manager | IT | SubSL_3 | Canada | New York | TAX01 | NaN | 2023-08-30 |
96446 | 8191 | Silver | Inactive | HR | 2023-03-14 | Active | Employee | IT | SubSL_3 | UK | Los Angeles | TAX01 | NaN | 2023-01-12 |
84961 | 1000 | Silver | Active | Data Strategy | 2022-10-01 | Inactive | Supervisor | Audit | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2023-02-27 |
68166 | 9893 | Platinum | Active | Finance | 2022-12-06 | Active | Director | Consulting | SubSL_3 | UK | New York | DS02 | Technology | 2023-04-01 |
27834 | 8881 | Bronze | Inactive | Data Strategy | 2023-06-27 | Inactive | Manager | TAX | SubSL_2 | UK | London | BI002 | NaN | 2023-01-11 |
71885 | 4282 | Bronze | Inactive | Marketing | 2023-09-01 | Active | Manager | IT | SubSL_1 | Canada | New York | TAX01 | Technology | 2022-12-19 |
22170 | 4737 | Gold | Active | HR | 2023-01-11 | Active | Supervisor | Audit | SubSL_1 | UK | New York | AI001 | Technology | 2022-11-23 |
74894 | 9336 | Silver | Inactive | Marketing | 2023-06-19 | Inactive | Director | TAX | SubSL_2 | Canada | Toronto | AI001 | Business | 2022-09-30 |
53126 | 1485 | Platinum | Active | Marketing | 2023-02-14 | Inactive | Supervisor | Audit | SubSL_3 | USA | Los Angeles | BI002 | NaN | 2023-07-04 |
18114 | 8917 | Silver | Inactive | HR | 2022-11-27 | Inactive | Director | Consulting | SubSL_3 | USA | Los Angeles | DS02 | Business | 2023-03-01 |
39751 | 7382 | Silver | Active | HR | 2022-11-18 | Inactive | Employee | IT | SubSL_2 | UK | London | AI001 | Technology | 2023-04-14 |
74281 | 1714 | Bronze | Inactive | Data Strategy | 2023-07-18 | Active | Supervisor | TAX | SubSL_1 | USA | New York | AI001 | Technology | 2023-04-27 |
77130 | 9251 | Platinum | Active | HR | 2023-03-04 | Active | Employee | IT | SubSL_3 | Canada | New York | DS02 | Technology | 2023-08-31 |
51064 | 6939 | Platinum | Active | Data Strategy | 2023-07-01 | Active | Director | Consulting | SubSL_3 | Canada | Toronto | DS02 | Leadership | 2023-03-28 |
96488 | 9605 | Gold | Inactive | IT | 2023-05-16 | Active | Supervisor | Audit | SubSL_3 | USA | New York | BI002 | Leadership | 2023-08-08 |
19255 | 6959 | Gold | Active | HR | 2023-03-29 | Active | Director | TAX | SubSL_3 | UK | New York | AI001 | Technology | 2022-11-29 |
82951 | 6558 | Bronze | Inactive | IT | 2022-12-14 | Active | Supervisor | Audit | SubSL_2 | USA | Toronto | BI002 | Technology | 2022-09-28 |
80409 | 7561 | Platinum | Inactive | Marketing | 2023-01-16 | Active | Director | IT | SubSL_3 | UK | Los Angeles | BI002 | Leadership | 2022-10-21 |
93492 | 2495 | Bronze | Inactive | HR | 2023-07-22 | Inactive | Supervisor | RMS | SubSL_2 | UK | Los Angeles | TAX01 | Leadership | 2023-02-07 |
68960 | 9543 | Platinum | Inactive | IT | 2023-05-24 | Active | Manager | TAX | SubSL_1 | Canada | Los Angeles | AI001 | Business | 2023-06-11 |
75967 | 9153 | Platinum | Active | HR | 2022-10-24 | Inactive | Director | RMS | SubSL_3 | Canada | Toronto | BI002 | Technology | 2023-01-16 |
14054 | 1337 | Gold | Inactive | Finance | 2022-09-23 | Inactive | Director | TAX | SubSL_3 | USA | Los Angeles | DS02 | Technology | 2022-10-07 |
44072 | 3054 | Silver | Active | Finance | 2023-06-14 | Inactive | Supervisor | Audit | SubSL_3 | UK | New York | BI002 | NaN | 2023-07-22 |
96524 | 7013 | Platinum | Inactive | Data Strategy | 2023-04-20 | Inactive | Employee | RMS | SubSL_2 | USA | Los Angeles | DS02 | Business | 2022-12-17 |
73972 | 5168 | Platinum | Inactive | Marketing | 2022-12-14 | Active | Supervisor | RMS | SubSL_3 | UK | London | AI001 | Business | 2023-04-13 |
38480 | 7787 | Bronze | Inactive | Data Strategy | 2023-02-28 | Inactive | Supervisor | TAX | SubSL_2 | Canada | Toronto | TAX01 | Business | 2023-02-22 |
54719 | 5008 | Silver | Inactive | IT | 2022-10-06 | Inactive | Manager | Audit | SubSL_2 | USA | London | DS02 | Technology | 2023-07-21 |
11183 | 4098 | Platinum | Inactive | IT | 2022-11-16 | Active | Director | RMS | SubSL_2 | UK | Los Angeles | TAX01 | Leadership | 2022-10-04 |
62030 | 7524 | Silver | Inactive | Marketing | 2023-05-13 | Active | Manager | RMS | SubSL_2 | Canada | New York | DS02 | Leadership | 2022-12-02 |
91167 | 6950 | Bronze | Inactive | Marketing | 2023-08-02 | Active | Employee | TAX | SubSL_1 | UK | London | BI002 | Technology | 2022-11-25 |
91847 | 8214 | Silver | Active | Marketing | 2023-02-24 | Active | Employee | Consulting | SubSL_3 | USA | Los Angeles | TAX01 | NaN | 2022-10-07 |
12239 | 1652 | Gold | Inactive | Data Strategy | 2023-04-30 | Active | Employee | IT | SubSL_1 | UK | Toronto | DS02 | Technology | 2023-05-24 |
67797 | 9244 | Silver | Inactive | IT | 2023-08-15 | Inactive | Director | TAX | SubSL_2 | Canada | London | BI002 | Technology | 2023-05-12 |
35502 | 5832 | Gold | Active | HR | 2023-06-07 | Active | Supervisor | RMS | SubSL_2 | USA | Los Angeles | TAX01 | Business | 2023-01-02 |
19785 | 3409 | Platinum | Active | Data Strategy | 2022-10-27 | Active | Employee | Audit | SubSL_2 | Canada | New York | AI001 | Technology | 2023-02-05 |
50420 | 7904 | Platinum | Active | Marketing | 2023-01-23 | Active | Manager | IT | SubSL_1 | Canada | New York | DS02 | Technology | 2023-07-26 |
12309 | 8186 | Platinum | Active | Data Strategy | 2023-05-30 | Active | Supervisor | RMS | SubSL_1 | UK | Toronto | TAX01 | Technology | 2022-11-14 |
63359 | 9817 | Bronze | Active | HR | 2023-05-27 | Inactive | Manager | Audit | SubSL_1 | UK | Toronto | DS02 | Leadership | 2023-04-10 |
96997 | 1619 | Platinum | Active | Marketing | 2022-12-31 | Active | Director | RMS | SubSL_2 | UK | London | BI002 | Technology | 2023-04-30 |
69502 | 1447 | Bronze | Active | IT | 2022-09-30 | Inactive | Employee | Consulting | SubSL_2 | Canada | New York | AI001 | Technology | 2022-10-28 |
71407 | 5478 | Platinum | Inactive | HR | 2023-05-08 | Active | Supervisor | IT | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-07-25 |
85252 | 6301 | Gold | Inactive | HR | 2023-04-02 | Active | Director | IT | SubSL_1 | USA | New York | BI002 | Technology | 2023-07-19 |
87887 | 8493 | Silver | Active | HR | 2023-03-24 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Toronto | AI001 | Business | 2022-09-20 |
54211 | 1777 | Platinum | Active | Finance | 2023-06-21 | Active | Supervisor | RMS | SubSL_3 | USA | London | DS02 | Business | 2023-05-23 |
51473 | 1002 | Bronze | Active | Data Strategy | 2023-07-21 | Inactive | Manager | Audit | SubSL_1 | UK | New York | TAX01 | Business | 2023-05-13 |
98301 | 3456 | Silver | Active | Data Strategy | 2022-09-25 | Inactive | Employee | RMS | SubSL_3 | USA | London | DS02 | Business | 2023-04-12 |
93288 | 1884 | Platinum | Active | Data Strategy | 2023-05-08 | Inactive | Supervisor | Consulting | SubSL_3 | Canada | New York | BI002 | NaN | 2023-04-17 |
14063 | 1344 | Gold | Inactive | Marketing | 2023-01-04 | Active | Manager | RMS | SubSL_2 | UK | New York | AI001 | Leadership | 2023-07-21 |
51945 | 3236 | Platinum | Active | Finance | 2023-02-16 | Inactive | Manager | RMS | SubSL_2 | USA | London | BI002 | Leadership | 2023-05-29 |
42557 | 1283 | Gold | Inactive | HR | 2023-07-28 | Active | Director | Consulting | SubSL_3 | Canada | Los Angeles | DS02 | NaN | 2023-03-22 |
74821 | 7479 | Gold | Inactive | Marketing | 2023-04-18 | Active | Employee | TAX | SubSL_2 | Canada | London | DS02 | Leadership | 2023-04-04 |
83162 | 6967 | Platinum | Active | HR | 2023-04-02 | Active | Director | Audit | SubSL_2 | Canada | Los Angeles | BI002 | Leadership | 2023-01-06 |
78389 | 1850 | Gold | Active | Data Strategy | 2023-08-01 | Inactive | Director | IT | SubSL_2 | Canada | Toronto | TAX01 | Leadership | 2023-05-05 |
82811 | 1589 | Gold | Inactive | Finance | 2023-08-23 | Active | Supervisor | RMS | SubSL_3 | UK | New York | BI002 | Leadership | 2022-12-15 |
19372 | 6273 | Platinum | Inactive | Data Strategy | 2023-09-08 | Inactive | Manager | IT | SubSL_2 | USA | Los Angeles | BI002 | NaN | 2023-08-04 |
41089 | 4048 | Platinum | Active | Data Strategy | 2023-03-02 | Inactive | Director | RMS | SubSL_2 | Canada | New York | TAX01 | Technology | 2023-06-03 |
12570 | 9843 | Gold | Active | Marketing | 2023-01-18 | Inactive | Director | TAX | SubSL_2 | UK | London | AI001 | NaN | 2023-08-26 |
38406 | 3624 | Silver | Inactive | Marketing | 2022-11-21 | Inactive | Employee | RMS | SubSL_2 | USA | Toronto | BI002 | Technology | 2023-06-13 |
70797 | 1767 | Platinum | Inactive | Marketing | 2022-10-13 | Inactive | Director | Audit | SubSL_2 | USA | London | TAX01 | Leadership | 2023-09-16 |
84318 | 1708 | Bronze | Active | Data Strategy | 2023-06-22 | Active | Employee | IT | SubSL_1 | USA | London | DS02 | Business | 2023-01-03 |
25052 | 9748 | Gold | Active | HR | 2023-06-27 | Inactive | Director | TAX | SubSL_1 | Canada | New York | BI002 | Leadership | 2022-12-08 |
73490 | 8490 | Platinum | Inactive | HR | 2023-06-14 | Active | Director | Audit | SubSL_1 | Canada | London | AI001 | NaN | 2022-10-09 |
65954 | 1800 | Silver | Inactive | Finance | 2023-07-17 | Inactive | Supervisor | RMS | SubSL_2 | USA | London | BI002 | Business | 2023-08-13 |
46958 | 3682 | Silver | Active | HR | 2022-11-18 | Inactive | Manager | Audit | SubSL_3 | USA | New York | TAX01 | NaN | 2023-08-15 |
58925 | 3297 | Platinum | Active | HR | 2023-08-21 | Active | Employee | RMS | SubSL_1 | USA | New York | DS02 | Business | 2023-07-10 |
86782 | 5678 | Gold | Active | IT | 2022-12-22 | Active | Director | IT | SubSL_2 | USA | New York | DS02 | Technology | 2023-07-07 |
16408 | 8344 | Silver | Active | IT | 2022-12-23 | Active | Manager | Audit | SubSL_2 | UK | Los Angeles | AI001 | Business | 2022-11-07 |
69012 | 3136 | Bronze | Inactive | Finance | 2023-08-24 | Inactive | Director | Consulting | SubSL_3 | UK | Los Angeles | TAX01 | NaN | 2022-12-17 |
58853 | 8344 | Silver | Active | HR | 2023-01-18 | Active | Supervisor | Consulting | SubSL_2 | Canada | New York | BI002 | NaN | 2023-04-29 |
59232 | 9770 | Gold | Inactive | Data Strategy | 2023-04-04 | Inactive | Employee | IT | SubSL_1 | UK | Los Angeles | DS02 | Leadership | 2023-05-25 |
35168 | 3103 | Bronze | Inactive | Data Strategy | 2023-05-24 | Active | Supervisor | Consulting | SubSL_1 | Canada | Toronto | TAX01 | Leadership | 2023-06-18 |
73674 | 8881 | Bronze | Inactive | Finance | 2022-11-19 | Inactive | Director | RMS | SubSL_3 | UK | New York | DS02 | NaN | 2023-05-12 |
87317 | 5937 | Silver | Active | Marketing | 2023-06-30 | Active | Director | IT | SubSL_3 | USA | Los Angeles | BI002 | Leadership | 2022-10-25 |
30808 | 1973 | Platinum | Active | IT | 2023-03-18 | Inactive | Manager | RMS | SubSL_1 | UK | Toronto | DS02 | Technology | 2023-05-23 |
50111 | 1413 | Bronze | Inactive | Finance | 2023-09-08 | Inactive | Supervisor | Audit | SubSL_3 | USA | Toronto | AI001 | NaN | 2023-04-05 |
62290 | 3138 | Bronze | Inactive | Marketing | 2023-02-25 | Inactive | Director | RMS | SubSL_1 | USA | London | AI001 | NaN | 2023-01-17 |
18168 | 1706 | Bronze | Active | IT | 2023-04-17 | Inactive | Employee | TAX | SubSL_2 | Canada | New York | DS02 | Technology | 2022-09-22 |
32784 | 7020 | Bronze | Inactive | Marketing | 2023-06-27 | Active | Director | Audit | SubSL_3 | Canada | Toronto | BI002 | Business | 2023-04-26 |
96077 | 5313 | Gold | Active | IT | 2022-09-23 | Active | Manager | Consulting | SubSL_3 | Canada | London | DS02 | Business | 2023-09-09 |
77265 | 1252 | Bronze | Inactive | Marketing | 2023-05-13 | Inactive | Manager | Consulting | SubSL_3 | Canada | London | BI002 | Leadership | 2023-02-22 |
34370 | 9678 | Gold | Active | Data Strategy | 2023-02-24 | Active | Supervisor | Audit | SubSL_2 | Canada | London | TAX01 | Business | 2023-04-27 |
46132 | 2961 | Silver | Active | Marketing | 2023-09-18 | Inactive | Director | Consulting | SubSL_2 | USA | New York | DS02 | NaN | 2022-11-06 |
59616 | 8523 | Silver | Inactive | IT | 2023-04-04 | Active | Director | Audit | SubSL_1 | UK | Toronto | BI002 | NaN | 2023-04-13 |
82509 | 8103 | Bronze | Inactive | Data Strategy | 2023-03-18 | Inactive | Employee | Audit | SubSL_2 | UK | Toronto | BI002 | NaN | 2022-12-31 |
65191 | 3115 | Bronze | Inactive | Marketing | 2023-07-07 | Active | Supervisor | RMS | SubSL_2 | Canada | New York | BI002 | Leadership | 2023-03-08 |
84121 | 9483 | Platinum | Inactive | Marketing | 2023-08-03 | Active | Employee | TAX | SubSL_2 | USA | Toronto | AI001 | Business | 2023-06-28 |
44649 | 3606 | Gold | Active | Finance | 2023-02-27 | Active | Employee | Audit | SubSL_2 | UK | New York | DS02 | Business | 2023-01-21 |
33904 | 8715 | Bronze | Active | HR | 2023-05-20 | Active | Supervisor | Consulting | SubSL_3 | UK | Los Angeles | TAX01 | Technology | 2022-11-20 |
22390 | 7279 | Bronze | Inactive | IT | 2023-03-07 | Inactive | Employee | Consulting | SubSL_2 | USA | Toronto | DS02 | Business | 2023-01-07 |
63283 | 4352 | Gold | Inactive | Data Strategy | 2023-01-11 | Inactive | Director | TAX | SubSL_1 | UK | New York | DS02 | NaN | 2023-02-25 |
23931 | 3825 | Gold | Inactive | Marketing | 2023-05-24 | Active | Supervisor | TAX | SubSL_1 | UK | New York | TAX01 | NaN | 2023-06-22 |
14707 | 3833 | Gold | Active | HR | 2023-07-18 | Inactive | Employee | RMS | SubSL_2 | UK | Los Angeles | TAX01 | Business | 2023-04-14 |
57117 | 9090 | Silver | Inactive | IT | 2023-01-31 | Active | Supervisor | TAX | SubSL_2 | USA | Toronto | AI001 | NaN | 2023-03-11 |
47451 | 6422 | Gold | Active | HR | 2023-07-02 | Active | Manager | Audit | SubSL_1 | USA | Los Angeles | BI002 | NaN | 2023-07-14 |
32322 | 6975 | Bronze | Active | Data Strategy | 2023-06-20 | Inactive | Employee | Audit | SubSL_3 | Canada | Los Angeles | DS02 | Leadership | 2023-06-06 |
90490 | 9920 | Silver | Inactive | Data Strategy | 2023-03-05 | Inactive | Manager | RMS | SubSL_1 | UK | Los Angeles | TAX01 | Technology | 2023-01-10 |
97078 | 5411 | Gold | Active | Marketing | 2023-01-27 | Inactive | Supervisor | RMS | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-07-23 |
27909 | 9330 | Platinum | Active | Data Strategy | 2023-06-22 | Active | Supervisor | TAX | SubSL_3 | USA | Toronto | TAX01 | NaN | 2023-08-17 |
39446 | 5327 | Platinum | Active | Data Strategy | 2023-03-03 | Inactive | Manager | IT | SubSL_3 | USA | Toronto | TAX01 | Leadership | 2022-12-29 |
47255 | 8153 | Gold | Inactive | HR | 2023-05-07 | Inactive | Employee | IT | SubSL_2 | Canada | Los Angeles | DS02 | Technology | 2022-09-26 |
23595 | 3636 | Gold | Inactive | Data Strategy | 2023-02-08 | Active | Director | RMS | SubSL_1 | UK | Los Angeles | BI002 | Business | 2023-03-10 |
86493 | 8436 | Platinum | Inactive | Marketing | 2022-11-14 | Inactive | Manager | RMS | SubSL_2 | USA | London | AI001 | Business | 2023-07-18 |
63963 | 2669 | Gold | Active | IT | 2023-05-10 | Active | Director | RMS | SubSL_2 | Canada | Los Angeles | DS02 | Business | 2023-03-09 |
93403 | 6053 | Platinum | Active | Marketing | 2023-07-11 | Inactive | Supervisor | IT | SubSL_1 | Canada | New York | TAX01 | NaN | 2023-07-09 |
55046 | 3642 | Silver | Active | Finance | 2022-12-21 | Active | Manager | Audit | SubSL_2 | UK | New York | AI001 | Technology | 2023-04-23 |
50992 | 7303 | Gold | Active | HR | 2022-12-14 | Active | Manager | Audit | SubSL_3 | UK | Los Angeles | BI002 | Technology | 2022-12-04 |
38859 | 1614 | Silver | Inactive | Marketing | 2023-01-01 | Inactive | Director | Consulting | SubSL_2 | USA | Toronto | BI002 | Technology | 2022-10-17 |
16455 | 6783 | Gold | Active | Marketing | 2023-08-03 | Active | Director | TAX | SubSL_3 | USA | New York | AI001 | Business | 2022-12-14 |
19543 | 6776 | Silver | Active | Finance | 2023-03-03 | Inactive | Supervisor | Consulting | SubSL_2 | UK | London | BI002 | Business | 2023-06-04 |
97334 | 4239 | Gold | Inactive | Data Strategy | 2022-11-05 | Inactive | Manager | RMS | SubSL_2 | UK | Toronto | BI002 | Business | 2023-08-15 |
85404 | 3658 | Gold | Active | Finance | 2023-02-03 | Inactive | Director | IT | SubSL_1 | Canada | New York | TAX01 | Business | 2023-08-01 |
76083 | 7176 | Platinum | Inactive | Data Strategy | 2022-10-12 | Inactive | Director | RMS | SubSL_1 | UK | London | DS02 | Leadership | 2022-09-20 |
18548 | 2619 | Bronze | Active | Data Strategy | 2022-12-15 | Inactive | Supervisor | Audit | SubSL_1 | USA | Los Angeles | AI001 | Leadership | 2023-03-19 |
10264 | 1239 | Platinum | Active | HR | 2022-12-19 | Inactive | Manager | Consulting | SubSL_3 | USA | Toronto | DS02 | Technology | 2023-07-18 |
68827 | 6382 | Silver | Active | Finance | 2022-10-20 | Active | Manager | Consulting | SubSL_2 | UK | London | AI001 | NaN | 2022-10-19 |
22544 | 9890 | Platinum | Active | HR | 2022-10-14 | Inactive | Manager | IT | SubSL_3 | UK | Toronto | DS02 | Leadership | 2023-08-26 |
82100 | 5863 | Silver | Active | Marketing | 2022-12-31 | Inactive | Supervisor | RMS | SubSL_2 | USA | Toronto | BI002 | Technology | 2022-12-20 |
58122 | 7611 | Silver | Inactive | IT | 2023-02-27 | Inactive | Supervisor | Audit | SubSL_3 | UK | Los Angeles | BI002 | Technology | 2023-04-10 |
99689 | 6285 | Gold | Active | HR | 2022-12-05 | Inactive | Supervisor | IT | SubSL_2 | Canada | Los Angeles | DS02 | Leadership | 2022-12-14 |
46322 | 9541 | Platinum | Inactive | Marketing | 2022-12-06 | Active | Manager | Audit | SubSL_1 | USA | Toronto | TAX01 | Technology | 2023-06-27 |
72391 | 8753 | Platinum | Active | HR | 2022-12-05 | Active | Director | RMS | SubSL_2 | UK | London | TAX01 | NaN | 2023-02-26 |
49640 | 3081 | Silver | Inactive | Finance | 2022-11-29 | Active | Manager | Audit | SubSL_1 | Canada | Toronto | AI001 | Technology | 2022-10-06 |
27396 | 4952 | Gold | Active | Data Strategy | 2023-07-01 | Inactive | Manager | IT | SubSL_1 | USA | New York | DS02 | Business | 2022-11-15 |
69036 | 8348 | Bronze | Active | HR | 2023-05-25 | Active | Director | TAX | SubSL_1 | USA | London | DS02 | Business | 2023-09-03 |
70873 | 8969 | Gold | Active | IT | 2023-08-14 | Inactive | Manager | Consulting | SubSL_3 | USA | Toronto | AI001 | Technology | 2023-06-06 |
46028 | 9771 | Bronze | Active | IT | 2022-11-26 | Inactive | Manager | RMS | SubSL_3 | USA | London | BI002 | NaN | 2023-08-08 |
21090 | 7883 | Gold | Active | HR | 2023-05-06 | Inactive | Employee | TAX | SubSL_1 | UK | New York | AI001 | Leadership | 2023-05-09 |
89055 | 8235 | Platinum | Active | Finance | 2022-10-30 | Inactive | Director | Consulting | SubSL_1 | Canada | London | TAX01 | Business | 2023-03-10 |
14887 | 1882 | Gold | Active | Data Strategy | 2023-05-08 | Inactive | Director | TAX | SubSL_1 | USA | Toronto | TAX01 | Leadership | 2022-11-26 |
67876 | 1028 | Silver | Active | Data Strategy | 2023-06-16 | Inactive | Supervisor | TAX | SubSL_2 | Canada | London | AI001 | NaN | 2023-08-24 |
47996 | 7074 | Platinum | Active | Marketing | 2022-09-24 | Inactive | Supervisor | Audit | SubSL_1 | UK | New York | DS02 | NaN | 2023-07-09 |
45216 | 1405 | Platinum | Active | Data Strategy | 2023-03-29 | Inactive | Manager | Audit | SubSL_3 | UK | New York | BI002 | NaN | 2022-10-24 |
44965 | 3401 | Platinum | Active | HR | 2022-12-12 | Inactive | Supervisor | Consulting | SubSL_2 | UK | Toronto | AI001 | Leadership | 2022-10-21 |
86658 | 9258 | Gold | Inactive | Data Strategy | 2023-01-22 | Inactive | Manager | IT | SubSL_2 | USA | New York | TAX01 | Technology | 2022-11-18 |
51654 | 5348 | Gold | Inactive | Marketing | 2023-05-02 | Active | Supervisor | RMS | SubSL_1 | USA | Los Angeles | DS02 | NaN | 2023-08-03 |
66822 | 4711 | Platinum | Active | IT | 2023-03-12 | Inactive | Director | Audit | SubSL_2 | Canada | Los Angeles | BI002 | Business | 2023-03-07 |
61484 | 5079 | Silver | Inactive | Data Strategy | 2022-09-19 | Active | Supervisor | Audit | SubSL_3 | USA | Toronto | AI001 | NaN | 2023-02-12 |
71723 | 7775 | Silver | Inactive | IT | 2022-09-27 | Inactive | Manager | RMS | SubSL_1 | UK | Toronto | AI001 | Leadership | 2022-11-16 |
90108 | 9602 | Platinum | Active | Finance | 2023-03-23 | Active | Supervisor | RMS | SubSL_2 | USA | New York | DS02 | Business | 2023-08-14 |
33813 | 9654 | Platinum | Active | Marketing | 2022-11-04 | Active | Director | Audit | SubSL_1 | Canada | Toronto | AI001 | Technology | 2023-04-22 |
21906 | 2040 | Silver | Active | Data Strategy | 2023-05-21 | Inactive | Manager | RMS | SubSL_1 | Canada | Los Angeles | TAX01 | Leadership | 2022-10-22 |
56992 | 2547 | Silver | Inactive | HR | 2022-11-08 | Active | Director | TAX | SubSL_1 | UK | Toronto | AI001 | NaN | 2023-02-25 |
74578 | 7191 | Gold | Inactive | Finance | 2023-06-16 | Inactive | Employee | RMS | SubSL_3 | USA | Los Angeles | TAX01 | Leadership | 2023-07-08 |
78876 | 2720 | Platinum | Inactive | Finance | 2023-08-19 | Inactive | Manager | RMS | SubSL_3 | Canada | New York | BI002 | NaN | 2023-03-02 |
49949 | 4743 | Gold | Inactive | HR | 2023-03-03 | Active | Director | Audit | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2022-10-28 |
13712 | 3164 | Bronze | Inactive | Marketing | 2023-02-13 | Inactive | Manager | IT | SubSL_1 | USA | London | DS02 | Leadership | 2022-09-29 |
26895 | 6744 | Platinum | Active | IT | 2022-10-17 | Active | Supervisor | Audit | SubSL_1 | UK | Toronto | DS02 | NaN | 2022-12-01 |
52976 | 2569 | Silver | Inactive | HR | 2022-12-18 | Active | Manager | IT | SubSL_1 | UK | Los Angeles | AI001 | Leadership | 2023-09-05 |
36764 | 3718 | Bronze | Inactive | HR | 2023-03-06 | Active | Manager | TAX | SubSL_2 | Canada | New York | TAX01 | Technology | 2023-05-26 |
32351 | 7192 | Platinum | Inactive | IT | 2023-03-31 | Inactive | Director | Consulting | SubSL_2 | UK | Toronto | TAX01 | Technology | 2023-04-17 |
44339 | 6552 | Bronze | Inactive | Finance | 2023-03-16 | Inactive | Employee | IT | SubSL_1 | Canada | Toronto | BI002 | NaN | 2023-05-06 |
51803 | 2865 | Platinum | Inactive | HR | 2023-03-11 | Active | Supervisor | IT | SubSL_1 | USA | Toronto | DS02 | Business | 2023-03-21 |
45727 | 7293 | Platinum | Active | Data Strategy | 2023-07-28 | Active | Supervisor | Audit | SubSL_2 | Canada | Toronto | BI002 | Leadership | 2023-05-21 |
90630 | 3451 | Gold | Active | Finance | 2023-03-29 | Active | Manager | TAX | SubSL_2 | Canada | Los Angeles | BI002 | Business | 2022-11-04 |
31424 | 5275 | Bronze | Active | Data Strategy | 2023-03-25 | Inactive | Director | IT | SubSL_2 | Canada | New York | AI001 | NaN | 2023-08-14 |
17143 | 1799 | Bronze | Inactive | HR | 2023-02-01 | Active | Director | Consulting | SubSL_1 | USA | London | DS02 | NaN | 2023-09-08 |
71966 | 2452 | Bronze | Active | Finance | 2023-05-02 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | BI002 | Business | 2023-03-29 |
34903 | 7448 | Gold | Inactive | Data Strategy | 2022-10-08 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | DS02 | NaN | 2023-04-01 |
77133 | 3950 | Gold | Inactive | Marketing | 2022-12-24 | Active | Supervisor | Consulting | SubSL_2 | UK | New York | DS02 | Business | 2023-04-16 |
15908 | 5161 | Platinum | Active | Finance | 2023-05-21 | Active | Employee | RMS | SubSL_1 | USA | Los Angeles | AI001 | Business | 2022-10-12 |
50935 | 2636 | Gold | Active | Finance | 2023-01-28 | Inactive | Employee | IT | SubSL_1 | Canada | London | DS02 | NaN | 2023-02-09 |
45107 | 9530 | Silver | Inactive | Marketing | 2023-05-01 | Active | Director | Audit | SubSL_2 | UK | London | AI001 | Business | 2023-02-27 |
53431 | 2261 | Platinum | Active | IT | 2022-10-25 | Inactive | Manager | Consulting | SubSL_1 | USA | New York | TAX01 | Business | 2023-08-16 |
32121 | 6417 | Bronze | Active | Marketing | 2023-03-15 | Inactive | Director | Consulting | SubSL_1 | Canada | Los Angeles | AI001 | Technology | 2022-12-24 |
31780 | 5029 | Gold | Inactive | Data Strategy | 2023-01-24 | Inactive | Supervisor | TAX | SubSL_2 | Canada | Toronto | TAX01 | Leadership | 2023-05-16 |
62858 | 5513 | Silver | Active | Marketing | 2022-10-17 | Inactive | Director | TAX | SubSL_3 | USA | Toronto | DS02 | NaN | 2022-11-09 |
76178 | 3535 | Gold | Active | HR | 2023-02-08 | Active | Supervisor | RMS | SubSL_1 | USA | Toronto | TAX01 | Business | 2023-02-01 |
45479 | 3001 | Bronze | Active | HR | 2022-10-21 | Inactive | Director | Consulting | SubSL_2 | Canada | Los Angeles | BI002 | Technology | 2023-05-05 |
62318 | 3999 | Bronze | Inactive | Finance | 2023-02-21 | Inactive | Employee | Audit | SubSL_3 | USA | London | DS02 | Leadership | 2023-09-19 |
59196 | 5971 | Gold | Inactive | Data Strategy | 2022-12-01 | Inactive | Employee | IT | SubSL_1 | Canada | Los Angeles | AI001 | Technology | 2023-03-10 |
19766 | 2733 | Gold | Active | HR | 2023-01-28 | Active | Supervisor | Consulting | SubSL_1 | Canada | London | AI001 | NaN | 2023-02-17 |
26555 | 8354 | Bronze | Active | IT | 2023-04-12 | Active | Employee | Consulting | SubSL_3 | USA | Toronto | TAX01 | Technology | 2023-04-15 |
42926 | 9305 | Gold | Inactive | Finance | 2023-08-08 | Inactive | Supervisor | Consulting | SubSL_3 | Canada | London | TAX01 | Technology | 2023-05-29 |
19011 | 4133 | Platinum | Inactive | Finance | 2023-09-02 | Active | Supervisor | IT | SubSL_2 | UK | Toronto | AI001 | Technology | 2022-10-26 |
40950 | 4652 | Bronze | Inactive | IT | 2023-05-28 | Inactive | Director | Consulting | SubSL_2 | Canada | New York | TAX01 | NaN | 2022-11-28 |
39671 | 1923 | Bronze | Active | HR | 2023-03-05 | Active | Supervisor | IT | SubSL_3 | USA | Toronto | AI001 | Leadership | 2023-01-15 |
48407 | 6241 | Platinum | Inactive | Marketing | 2023-07-07 | Active | Manager | Consulting | SubSL_2 | UK | Los Angeles | TAX01 | Leadership | 2023-05-11 |
19222 | 4629 | Silver | Active | Marketing | 2023-05-21 | Active | Manager | Consulting | SubSL_1 | Canada | London | DS02 | Technology | 2023-05-21 |
50913 | 2850 | Bronze | Inactive | IT | 2023-03-24 | Inactive | Director | Consulting | SubSL_2 | Canada | Los Angeles | DS02 | NaN | 2023-08-26 |
76267 | 2622 | Bronze | Active | Data Strategy | 2023-06-15 | Active | Director | TAX | SubSL_2 | USA | Toronto | TAX01 | Technology | 2023-01-04 |
69368 | 8194 | Bronze | Active | HR | 2023-04-19 | Inactive | Director | Consulting | SubSL_2 | USA | Los Angeles | TAX01 | Leadership | 2022-12-07 |
65119 | 3663 | Platinum | Active | Data Strategy | 2022-12-05 | Inactive | Manager | Consulting | SubSL_2 | Canada | Los Angeles | DS02 | Leadership | 2023-07-06 |
82655 | 6959 | Platinum | Inactive | Finance | 2023-04-16 | Active | Director | RMS | SubSL_1 | UK | London | DS02 | NaN | 2023-03-08 |
17177 | 5805 | Gold | Active | IT | 2023-07-27 | Inactive | Manager | TAX | SubSL_1 | USA | Toronto | BI002 | NaN | 2022-10-05 |
60136 | 4361 | Bronze | Active | Marketing | 2023-04-17 | Active | Manager | Consulting | SubSL_3 | Canada | Los Angeles | AI001 | NaN | 2023-05-03 |
94377 | 5271 | Bronze | Active | Finance | 2023-01-31 | Active | Director | Consulting | SubSL_2 | UK | London | BI002 | Leadership | 2023-03-13 |
17605 | 1093 | Silver | Active | IT | 2023-04-01 | Active | Employee | TAX | SubSL_2 | USA | Toronto | BI002 | Leadership | 2023-03-18 |
73264 | 8482 | Bronze | Inactive | Marketing | 2023-09-16 | Active | Director | Consulting | SubSL_3 | USA | Los Angeles | BI002 | Technology | 2023-06-30 |
14663 | 6237 | Platinum | Active | IT | 2023-05-13 | Active | Supervisor | TAX | SubSL_3 | Canada | Los Angeles | AI001 | Leadership | 2023-08-26 |
33771 | 3436 | Silver | Inactive | Finance | 2023-03-02 | Active | Supervisor | Audit | SubSL_1 | Canada | New York | TAX01 | Leadership | 2023-07-28 |
21415 | 8300 | Platinum | Active | HR | 2023-01-28 | Inactive | Director | Consulting | SubSL_3 | Canada | Los Angeles | DS02 | NaN | 2022-10-07 |
88531 | 4778 | Silver | Active | Marketing | 2022-10-05 | Inactive | Supervisor | TAX | SubSL_3 | Canada | Los Angeles | DS02 | Technology | 2023-01-06 |
73847 | 2841 | Silver | Active | HR | 2023-02-03 | Active | Director | TAX | SubSL_2 | USA | Los Angeles | AI001 | Business | 2023-04-09 |
95927 | 4231 | Bronze | Active | HR | 2023-07-18 | Inactive | Employee | TAX | SubSL_3 | Canada | Los Angeles | DS02 | Business | 2022-11-22 |
29481 | 6380 | Platinum | Active | Data Strategy | 2023-03-03 | Active | Manager | Consulting | SubSL_2 | Canada | Los Angeles | DS02 | Business | 2023-06-09 |
78509 | 2279 | Bronze | Active | Data Strategy | 2022-11-19 | Inactive | Manager | Audit | SubSL_3 | Canada | Toronto | DS02 | NaN | 2023-02-09 |
71598 | 6907 | Silver | Inactive | Finance | 2023-03-27 | Inactive | Employee | TAX | SubSL_1 | UK | Los Angeles | BI002 | Leadership | 2023-01-11 |
30891 | 9120 | Platinum | Inactive | IT | 2022-12-11 | Active | Manager | IT | SubSL_3 | Canada | London | TAX01 | Technology | 2023-06-17 |
71705 | 1304 | Silver | Inactive | Finance | 2022-12-31 | Inactive | Supervisor | Consulting | SubSL_2 | UK | Toronto | AI001 | NaN | 2022-10-03 |
37357 | 8422 | Silver | Active | IT | 2023-03-03 | Active | Supervisor | RMS | SubSL_2 | UK | New York | DS02 | NaN | 2023-04-09 |
45811 | 7064 | Silver | Active | IT | 2023-08-17 | Active | Manager | Consulting | SubSL_3 | Canada | Toronto | DS02 | NaN | 2023-04-19 |
26754 | 5500 | Bronze | Active | HR | 2022-12-07 | Active | Director | Audit | SubSL_3 | UK | Los Angeles | BI002 | Leadership | 2023-06-01 |
60938 | 4033 | Platinum | Active | Marketing | 2022-10-31 | Active | Manager | Audit | SubSL_1 | USA | Los Angeles | BI002 | Technology | 2023-05-05 |
50746 | 4968 | Bronze | Inactive | Data Strategy | 2023-02-03 | Inactive | Director | Consulting | SubSL_2 | UK | Los Angeles | DS02 | NaN | 2023-02-25 |
98633 | 4530 | Platinum | Inactive | Finance | 2023-04-07 | Active | Supervisor | IT | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2023-02-06 |
36527 | 3900 | Bronze | Active | IT | 2023-08-29 | Active | Director | Audit | SubSL_2 | Canada | London | DS02 | Leadership | 2022-09-27 |
62864 | 6671 | Platinum | Active | IT | 2023-03-07 | Inactive | Supervisor | Audit | SubSL_1 | UK | London | TAX01 | Business | 2023-04-22 |
49205 | 7081 | Gold | Inactive | Data Strategy | 2023-09-12 | Inactive | Employee | Consulting | SubSL_2 | UK | Toronto | AI001 | Business | 2023-07-21 |
31315 | 8153 | Platinum | Inactive | IT | 2023-08-14 | Active | Director | IT | SubSL_2 | UK | Toronto | TAX01 | Business | 2023-04-04 |
40575 | 3591 | Platinum | Inactive | Marketing | 2023-01-19 | Active | Employee | Consulting | SubSL_3 | UK | Toronto | DS02 | Technology | 2023-03-26 |
26839 | 1388 | Platinum | Inactive | Marketing | 2023-01-10 | Inactive | Director | Consulting | SubSL_1 | UK | New York | AI001 | Technology | 2023-07-17 |
79171 | 4666 | Silver | Active | Data Strategy | 2022-11-29 | Active | Employee | RMS | SubSL_3 | USA | London | TAX01 | Leadership | 2022-11-06 |
91966 | 9628 | Bronze | Inactive | Finance | 2022-12-05 | Active | Supervisor | Consulting | SubSL_1 | USA | London | BI002 | Business | 2023-09-13 |
12557 | 2326 | Silver | Inactive | Marketing | 2022-10-24 | Inactive | Director | TAX | SubSL_2 | Canada | Toronto | BI002 | Leadership | 2023-08-07 |
63866 | 3107 | Platinum | Active | IT | 2022-12-29 | Inactive | Manager | Audit | SubSL_3 | USA | Los Angeles | TAX01 | NaN | 2023-09-04 |
26469 | 3888 | Silver | Active | IT | 2022-11-05 | Active | Manager | Consulting | SubSL_2 | UK | Los Angeles | TAX01 | NaN | 2023-03-17 |
88276 | 4075 | Platinum | Inactive | Finance | 2022-10-04 | Inactive | Manager | Audit | SubSL_2 | Canada | London | AI001 | Leadership | 2022-11-15 |
67836 | 8971 | Silver | Active | HR | 2023-01-20 | Active | Supervisor | IT | SubSL_2 | USA | New York | BI002 | NaN | 2023-05-31 |
35196 | 7016 | Gold | Inactive | IT | 2022-11-30 | Active | Manager | Consulting | SubSL_2 | Canada | New York | BI002 | Business | 2023-07-18 |
26450 | 4970 | Bronze | Inactive | Marketing | 2023-01-14 | Active | Supervisor | IT | SubSL_1 | UK | London | BI002 | Leadership | 2022-11-11 |
71999 | 3681 | Gold | Inactive | Finance | 2022-12-02 | Inactive | Supervisor | RMS | SubSL_1 | Canada | Los Angeles | DS02 | Business | 2023-06-22 |
96934 | 5974 | Silver | Inactive | Marketing | 2022-10-10 | Active | Manager | Audit | SubSL_3 | UK | London | AI001 | Technology | 2023-09-14 |
84739 | 4981 | Silver | Active | Finance | 2023-05-14 | Inactive | Supervisor | Consulting | SubSL_2 | USA | Toronto | AI001 | Technology | 2023-07-07 |
62617 | 9674 | Gold | Inactive | Data Strategy | 2022-12-18 | Active | Employee | TAX | SubSL_2 | USA | Toronto | AI001 | Technology | 2023-07-14 |
34375 | 2577 | Bronze | Active | Finance | 2023-03-03 | Active | Manager | IT | SubSL_1 | Canada | Toronto | TAX01 | Leadership | 2023-07-15 |
13991 | 1413 | Platinum | Inactive | HR | 2023-04-08 | Inactive | Supervisor | Audit | SubSL_3 | USA | London | DS02 | Business | 2023-07-12 |
98450 | 4380 | Gold | Inactive | Finance | 2022-11-27 | Active | Supervisor | Audit | SubSL_1 | USA | Toronto | BI002 | Leadership | 2023-08-01 |
10430 | 4556 | Bronze | Active | IT | 2023-06-27 | Inactive | Director | RMS | SubSL_2 | UK | Los Angeles | DS02 | Business | 2023-08-21 |
46928 | 5796 | Bronze | Active | Data Strategy | 2023-09-17 | Active | Director | Audit | SubSL_2 | UK | New York | BI002 | NaN | 2023-03-22 |
99730 | 6760 | Silver | Active | HR | 2023-03-21 | Inactive | Director | IT | SubSL_3 | Canada | London | TAX01 | Business | 2023-06-18 |
44283 | 9251 | Bronze | Active | IT | 2022-10-21 | Active | Manager | Audit | SubSL_1 | USA | London | TAX01 | Technology | 2022-11-04 |
58785 | 2331 | Platinum | Inactive | Finance | 2022-10-10 | Active | Manager | Audit | SubSL_1 | Canada | London | BI002 | NaN | 2023-07-01 |
54675 | 8469 | Gold | Active | HR | 2023-08-03 | Inactive | Director | IT | SubSL_2 | Canada | London | TAX01 | NaN | 2022-12-16 |
42065 | 5542 | Gold | Inactive | Data Strategy | 2023-05-15 | Active | Employee | Audit | SubSL_3 | USA | Los Angeles | AI001 | Technology | 2023-01-18 |
49532 | 1739 | Silver | Inactive | Marketing | 2023-07-24 | Inactive | Director | Audit | SubSL_1 | UK | Los Angeles | DS02 | Leadership | 2023-05-02 |
35996 | 6660 | Silver | Active | Marketing | 2023-08-03 | Inactive | Manager | IT | SubSL_1 | USA | Toronto | AI001 | Technology | 2023-04-14 |
11105 | 8698 | Platinum | Active | HR | 2023-03-15 | Active | Director | Consulting | SubSL_2 | UK | Toronto | AI001 | NaN | 2023-05-02 |
38677 | 7799 | Gold | Active | IT | 2023-05-04 | Inactive | Director | Audit | SubSL_1 | USA | London | BI002 | NaN | 2023-03-24 |
33484 | 5774 | Bronze | Active | Data Strategy | 2023-09-09 | Active | Manager | Audit | SubSL_3 | Canada | New York | TAX01 | Leadership | 2023-07-22 |
56278 | 4328 | Bronze | Inactive | Data Strategy | 2023-07-20 | Inactive | Manager | Audit | SubSL_2 | UK | New York | AI001 | NaN | 2022-12-03 |
62006 | 1703 | Silver | Active | Finance | 2023-01-15 | Inactive | Manager | Consulting | SubSL_1 | USA | Los Angeles | DS02 | Technology | 2023-07-14 |
47074 | 6078 | Silver | Inactive | HR | 2023-02-01 | Active | Employee | IT | SubSL_2 | USA | London | BI002 | Business | 2023-07-04 |
22324 | 2508 | Gold | Inactive | Finance | 2022-11-14 | Active | Supervisor | Audit | SubSL_3 | UK | London | AI001 | Technology | 2023-06-21 |
64722 | 2572 | Bronze | Active | Data Strategy | 2023-07-02 | Active | Manager | IT | SubSL_2 | Canada | London | AI001 | Technology | 2023-04-05 |
16241 | 7779 | Gold | Active | HR | 2022-10-13 | Inactive | Director | Audit | SubSL_1 | USA | London | AI001 | Leadership | 2022-12-24 |
99134 | 1697 | Platinum | Inactive | HR | 2023-09-13 | Inactive | Manager | RMS | SubSL_2 | Canada | Toronto | AI001 | Leadership | 2022-11-27 |
13152 | 7385 | Gold | Inactive | Finance | 2022-12-06 | Inactive | Manager | RMS | SubSL_1 | Canada | London | AI001 | Technology | 2023-03-25 |
82496 | 4759 | Silver | Active | HR | 2023-09-08 | Active | Employee | Audit | SubSL_1 | Canada | New York | TAX01 | NaN | 2022-10-12 |
31185 | 8930 | Platinum | Inactive | Marketing | 2023-07-16 | Active | Employee | RMS | SubSL_1 | Canada | London | DS02 | NaN | 2022-10-20 |
81074 | 6054 | Platinum | Inactive | Data Strategy | 2022-11-15 | Inactive | Director | Consulting | SubSL_3 | Canada | New York | BI002 | Business | 2023-05-23 |
95742 | 4549 | Platinum | Active | Marketing | 2022-09-27 | Inactive | Manager | Consulting | SubSL_2 | USA | Toronto | TAX01 | Technology | 2022-10-12 |
60677 | 1560 | Platinum | Active | Data Strategy | 2023-04-14 | Inactive | Supervisor | TAX | SubSL_1 | UK | New York | DS02 | NaN | 2022-11-11 |
82156 | 6113 | Silver | Inactive | IT | 2023-07-07 | Inactive | Manager | IT | SubSL_1 | UK | Los Angeles | TAX01 | Technology | 2022-11-17 |
14983 | 6281 | Gold | Active | Finance | 2023-01-03 | Inactive | Employee | RMS | SubSL_3 | UK | London | AI001 | Technology | 2023-01-01 |
75869 | 9075 | Gold | Active | IT | 2023-08-29 | Active | Manager | IT | SubSL_2 | USA | London | DS02 | Business | 2023-07-05 |
87345 | 2550 | Platinum | Inactive | HR | 2023-04-15 | Inactive | Manager | RMS | SubSL_3 | USA | New York | TAX01 | Business | 2023-06-15 |
82003 | 7610 | Bronze | Inactive | Marketing | 2022-10-08 | Active | Employee | TAX | SubSL_1 | UK | New York | AI001 | Business | 2023-09-14 |
17753 | 5496 | Platinum | Inactive | Marketing | 2023-06-09 | Inactive | Employee | Consulting | SubSL_1 | UK | Toronto | BI002 | Technology | 2023-06-26 |
90715 | 5581 | Bronze | Active | Data Strategy | 2022-09-28 | Inactive | Supervisor | Consulting | SubSL_3 | USA | Toronto | DS02 | NaN | 2023-05-22 |
94597 | 8847 | Gold | Active | Data Strategy | 2023-08-18 | Active | Employee | TAX | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-04-29 |
88458 | 7968 | Silver | Inactive | Finance | 2023-09-08 | Inactive | Manager | IT | SubSL_1 | Canada | Los Angeles | DS02 | NaN | 2022-11-30 |
89015 | 3620 | Gold | Active | HR | 2023-07-06 | Inactive | Employee | IT | SubSL_1 | USA | Los Angeles | TAX01 | Business | 2023-02-13 |
70440 | 4413 | Silver | Inactive | Marketing | 2022-11-20 | Inactive | Manager | Consulting | SubSL_1 | USA | Los Angeles | AI001 | Leadership | 2023-04-10 |
95417 | 4870 | Silver | Inactive | IT | 2023-02-18 | Inactive | Manager | TAX | SubSL_1 | UK | London | AI001 | Leadership | 2022-11-20 |
33125 | 5328 | Silver | Inactive | IT | 2023-03-24 | Inactive | Director | RMS | SubSL_3 | USA | Toronto | AI001 | NaN | 2023-01-21 |
38762 | 9943 | Gold | Inactive | IT | 2023-02-15 | Active | Director | Audit | SubSL_3 | UK | Los Angeles | TAX01 | Business | 2022-11-19 |
24157 | 5111 | Platinum | Active | HR | 2022-12-02 | Active | Manager | TAX | SubSL_1 | USA | New York | DS02 | Technology | 2022-10-12 |
62462 | 1230 | Bronze | Inactive | Marketing | 2023-01-20 | Inactive | Employee | TAX | SubSL_2 | USA | Los Angeles | BI002 | Technology | 2023-07-24 |
58409 | 5367 | Platinum | Inactive | IT | 2023-07-31 | Inactive | Supervisor | IT | SubSL_3 | UK | Toronto | AI001 | Leadership | 2023-01-31 |
86814 | 7591 | Bronze | Active | Data Strategy | 2022-12-01 | Inactive | Supervisor | RMS | SubSL_1 | Canada | Toronto | AI001 | Technology | 2022-10-21 |
11323 | 7155 | Platinum | Active | Finance | 2023-03-02 | Inactive | Manager | TAX | SubSL_2 | UK | Toronto | TAX01 | NaN | 2023-04-19 |
62903 | 4978 | Silver | Inactive | Finance | 2022-12-31 | Inactive | Director | IT | SubSL_3 | UK | London | DS02 | NaN | 2022-10-02 |
53731 | 2836 | Silver | Active | Finance | 2022-11-23 | Inactive | Supervisor | Consulting | SubSL_2 | Canada | Toronto | AI001 | Technology | 2023-03-04 |
59398 | 4700 | Bronze | Active | IT | 2023-08-04 | Active | Director | Consulting | SubSL_3 | UK | Los Angeles | DS02 | Technology | 2022-10-07 |
31601 | 2716 | Silver | Active | HR | 2023-08-10 | Inactive | Manager | TAX | SubSL_2 | USA | Toronto | BI002 | NaN | 2023-07-31 |
65894 | 7183 | Silver | Active | HR | 2022-12-26 | Inactive | Supervisor | TAX | SubSL_3 | Canada | Los Angeles | TAX01 | Technology | 2023-08-04 |
85866 | 3183 | Silver | Inactive | HR | 2023-01-16 | Inactive | Director | RMS | SubSL_1 | Canada | Toronto | AI001 | Business | 2022-11-06 |
65049 | 4120 | Silver | Active | HR | 2023-01-14 | Active | Manager | IT | SubSL_1 | UK | London | BI002 | Technology | 2023-06-25 |
82147 | 1507 | Platinum | Inactive | Finance | 2022-12-22 | Active | Employee | Consulting | SubSL_3 | UK | Toronto | BI002 | NaN | 2023-05-24 |
40227 | 8806 | Bronze | Active | Data Strategy | 2023-05-13 | Active | Manager | Consulting | SubSL_2 | Canada | Los Angeles | TAX01 | Business | 2023-01-03 |
48914 | 1208 | Platinum | Inactive | Finance | 2023-04-13 | Inactive | Supervisor | IT | SubSL_2 | Canada | Toronto | TAX01 | Technology | 2023-09-07 |
35865 | 2227 | Bronze | Active | IT | 2023-06-23 | Inactive | Manager | IT | SubSL_2 | USA | New York | DS02 | Leadership | 2023-01-24 |
22317 | 1910 | Silver | Active | Data Strategy | 2022-10-03 | Inactive | Manager | Consulting | SubSL_1 | USA | New York | TAX01 | Leadership | 2023-07-07 |
16777 | 3469 | Silver | Inactive | Data Strategy | 2023-06-14 | Active | Director | TAX | SubSL_3 | UK | London | AI001 | Business | 2023-07-30 |
78100 | 5825 | Bronze | Inactive | Finance | 2023-01-30 | Active | Supervisor | Audit | SubSL_1 | Canada | London | BI002 | NaN | 2023-07-06 |
29360 | 4614 | Silver | Inactive | Finance | 2023-08-03 | Active | Supervisor | RMS | SubSL_2 | Canada | New York | TAX01 | Leadership | 2022-10-30 |
93196 | 3466 | Silver | Inactive | HR | 2023-03-29 | Active | Employee | Consulting | SubSL_3 | UK | Los Angeles | AI001 | Leadership | 2023-08-03 |
69769 | 7800 | Silver | Active | Finance | 2022-12-17 | Active | Manager | IT | SubSL_3 | USA | New York | DS02 | Business | 2022-12-18 |
99561 | 9840 | Bronze | Inactive | HR | 2022-12-29 | Active | Manager | RMS | SubSL_1 | UK | New York | DS02 | Business | 2022-12-10 |
15244 | 7219 | Silver | Active | HR | 2023-04-01 | Active | Supervisor | IT | SubSL_2 | USA | Los Angeles | BI002 | NaN | 2022-11-04 |
95144 | 2826 | Gold | Active | Finance | 2023-05-25 | Active | Director | Audit | SubSL_1 | UK | Toronto | BI002 | Leadership | 2022-10-02 |
12880 | 7238 | Gold | Active | Data Strategy | 2023-08-06 | Active | Employee | RMS | SubSL_3 | Canada | London | AI001 | NaN | 2022-12-05 |
55764 | 4166 | Bronze | Inactive | IT | 2023-01-04 | Inactive | Supervisor | IT | SubSL_1 | USA | London | DS02 | Technology | 2022-10-27 |
88836 | 2999 | Gold | Inactive | IT | 2023-07-28 | Inactive | Director | Audit | SubSL_3 | USA | New York | DS02 | Business | 2022-11-27 |
36719 | 7543 | Gold | Inactive | Finance | 2022-10-31 | Inactive | Employee | RMS | SubSL_2 | USA | Toronto | DS02 | NaN | 2023-06-11 |
98397 | 1398 | Silver | Inactive | IT | 2023-02-02 | Active | Supervisor | Consulting | SubSL_2 | USA | Toronto | DS02 | NaN | 2023-04-16 |
86383 | 8764 | Platinum | Active | HR | 2023-08-24 | Inactive | Director | RMS | SubSL_3 | USA | Los Angeles | AI001 | Technology | 2022-10-10 |
47691 | 4757 | Platinum | Inactive | IT | 2022-09-21 | Inactive | Director | RMS | SubSL_2 | Canada | New York | DS02 | Technology | 2023-07-08 |
81369 | 9444 | Gold | Active | IT | 2023-09-08 | Inactive | Manager | TAX | SubSL_3 | UK | Toronto | AI001 | Leadership | 2022-11-27 |
66897 | 3515 | Gold | Active | IT | 2023-09-07 | Active | Director | RMS | SubSL_2 | USA | Toronto | AI001 | Leadership | 2022-11-26 |
84190 | 9436 | Platinum | Active | IT | 2022-10-23 | Active | Supervisor | TAX | SubSL_1 | Canada | Toronto | BI002 | Leadership | 2023-09-11 |
92165 | 6415 | Gold | Active | IT | 2023-07-07 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Toronto | BI002 | Technology | 2023-06-02 |
54982 | 8442 | Silver | Active | Marketing | 2023-09-03 | Inactive | Employee | IT | SubSL_2 | USA | Toronto | TAX01 | Leadership | 2023-01-18 |
89805 | 9655 | Gold | Active | Data Strategy | 2023-06-30 | Inactive | Manager | Consulting | SubSL_1 | UK | New York | BI002 | Leadership | 2022-10-21 |
18960 | 4358 | Gold | Active | Data Strategy | 2023-05-08 | Active | Supervisor | TAX | SubSL_2 | UK | Los Angeles | BI002 | NaN | 2023-07-18 |
66675 | 4571 | Platinum | Inactive | Marketing | 2023-05-21 | Active | Manager | Consulting | SubSL_2 | UK | Los Angeles | BI002 | Leadership | 2022-10-22 |
23966 | 9224 | Silver | Inactive | IT | 2023-06-12 | Inactive | Director | Consulting | SubSL_1 | USA | New York | AI001 | Technology | 2023-01-03 |
10112 | 6716 | Gold | Inactive | Finance | 2023-01-28 | Active | Supervisor | Audit | SubSL_1 | USA | New York | BI002 | Business | 2022-11-20 |
29117 | 7527 | Silver | Active | Finance | 2022-09-28 | Active | Employee | IT | SubSL_3 | Canada | Toronto | BI002 | NaN | 2023-05-19 |
85994 | 1974 | Silver | Active | Data Strategy | 2022-12-21 | Active | Supervisor | RMS | SubSL_3 | UK | Toronto | BI002 | Business | 2023-09-12 |
69204 | 6026 | Gold | Active | Finance | 2023-02-23 | Inactive | Employee | Consulting | SubSL_2 | USA | Los Angeles | DS02 | NaN | 2023-05-20 |
93909 | 6289 | Silver | Active | IT | 2023-05-28 | Active | Director | TAX | SubSL_2 | UK | Toronto | BI002 | NaN | 2023-01-19 |
72821 | 5660 | Platinum | Inactive | IT | 2023-09-08 | Inactive | Manager | TAX | SubSL_2 | USA | London | TAX01 | Leadership | 2022-10-21 |
28517 | 2497 | Bronze | Inactive | HR | 2023-04-03 | Inactive | Director | IT | SubSL_2 | Canada | Los Angeles | AI001 | Technology | 2023-02-16 |
11584 | 7038 | Platinum | Inactive | Finance | 2023-03-14 | Inactive | Manager | IT | SubSL_2 | UK | Toronto | BI002 | Leadership | 2022-11-20 |
83226 | 9533 | Gold | Inactive | IT | 2023-07-10 | Inactive | Employee | IT | SubSL_2 | USA | New York | BI002 | Leadership | 2023-04-21 |
90553 | 6450 | Bronze | Active | Marketing | 2023-01-28 | Active | Employee | IT | SubSL_3 | USA | Toronto | TAX01 | Business | 2022-09-27 |
33179 | 3089 | Silver | Inactive | Data Strategy | 2023-08-05 | Inactive | Employee | RMS | SubSL_1 | UK | Los Angeles | TAX01 | Technology | 2023-04-02 |
75355 | 3537 | Bronze | Active | Data Strategy | 2023-01-04 | Inactive | Director | IT | SubSL_1 | USA | New York | BI002 | NaN | 2023-08-17 |
72795 | 4224 | Bronze | Active | Finance | 2023-03-18 | Inactive | Manager | IT | SubSL_1 | USA | Los Angeles | TAX01 | Leadership | 2022-10-18 |
33958 | 9768 | Bronze | Inactive | IT | 2023-07-13 | Inactive | Director | TAX | SubSL_2 | Canada | New York | DS02 | Business | 2023-04-04 |
32558 | 7007 | Silver | Inactive | IT | 2023-01-31 | Active | Director | Audit | SubSL_1 | USA | Toronto | AI001 | Leadership | 2023-03-15 |
53865 | 6133 | Bronze | Active | Marketing | 2022-12-20 | Active | Supervisor | TAX | SubSL_1 | USA | London | AI001 | NaN | 2023-08-27 |
75063 | 1612 | Bronze | Inactive | HR | 2023-06-30 | Inactive | Director | TAX | SubSL_1 | UK | Los Angeles | TAX01 | Leadership | 2023-03-01 |
79521 | 4117 | Bronze | Inactive | Data Strategy | 2023-07-27 | Active | Manager | Consulting | SubSL_3 | UK | New York | TAX01 | Business | 2023-06-20 |
19289 | 1198 | Platinum | Inactive | IT | 2022-11-17 | Active | Manager | TAX | SubSL_3 | Canada | New York | AI001 | Technology | 2023-07-19 |
64205 | 7730 | Silver | Inactive | Finance | 2022-11-02 | Active | Director | Audit | SubSL_3 | USA | Los Angeles | BI002 | Business | 2022-10-26 |
29042 | 4814 | Silver | Inactive | Finance | 2023-08-08 | Active | Employee | TAX | SubSL_1 | USA | New York | AI001 | Technology | 2022-09-30 |
98542 | 3978 | Gold | Inactive | HR | 2022-10-04 | Active | Employee | Audit | SubSL_2 | UK | New York | AI001 | Technology | 2023-04-28 |
84667 | 6322 | Platinum | Inactive | Data Strategy | 2023-07-12 | Active | Employee | RMS | SubSL_3 | USA | Toronto | DS02 | Business | 2023-01-09 |
15078 | 8182 | Bronze | Active | Data Strategy | 2023-07-27 | Active | Supervisor | TAX | SubSL_3 | Canada | Los Angeles | TAX01 | NaN | 2023-08-05 |
73094 | 2642 | Silver | Inactive | HR | 2023-05-10 | Inactive | Employee | Consulting | SubSL_3 | UK | Toronto | DS02 | NaN | 2022-11-27 |
53001 | 1443 | Gold | Active | Finance | 2023-08-08 | Inactive | Supervisor | Audit | SubSL_1 | UK | New York | AI001 | NaN | 2023-01-10 |
35939 | 1355 | Silver | Inactive | HR | 2023-07-23 | Inactive | Employee | Consulting | SubSL_2 | UK | New York | TAX01 | Leadership | 2023-06-03 |
97218 | 8996 | Gold | Inactive | Marketing | 2022-11-11 | Inactive | Director | TAX | SubSL_3 | USA | Toronto | TAX01 | Leadership | 2023-08-19 |
96058 | 8257 | Platinum | Inactive | Finance | 2023-06-01 | Inactive | Director | Audit | SubSL_2 | Canada | Los Angeles | AI001 | NaN | 2023-09-11 |
37941 | 8111 | Bronze | Inactive | Finance | 2023-06-18 | Inactive | Employee | IT | SubSL_2 | Canada | New York | BI002 | Business | 2023-06-05 |
34492 | 6203 | Bronze | Active | Data Strategy | 2022-10-02 | Inactive | Manager | Audit | SubSL_2 | UK | Toronto | TAX01 | NaN | 2023-05-20 |
30901 | 2226 | Gold | Inactive | Finance | 2023-08-03 | Active | Employee | TAX | SubSL_2 | UK | New York | DS02 | Business | 2022-11-23 |
70855 | 8320 | Bronze | Inactive | Finance | 2022-11-15 | Active | Director | TAX | SubSL_2 | Canada | Los Angeles | BI002 | Business | 2022-11-07 |
94608 | 8375 | Bronze | Inactive | Data Strategy | 2023-06-20 | Active | Manager | Consulting | SubSL_2 | Canada | Toronto | AI001 | Technology | 2023-01-06 |
28609 | 4715 | Bronze | Active | Data Strategy | 2022-09-26 | Active | Supervisor | Consulting | SubSL_3 | Canada | London | DS02 | NaN | 2022-09-21 |
73165 | 8584 | Bronze | Active | Data Strategy | 2023-08-28 | Inactive | Supervisor | TAX | SubSL_2 | Canada | Toronto | TAX01 | Technology | 2022-12-20 |
85572 | 6146 | Platinum | Active | Data Strategy | 2023-01-22 | Active | Supervisor | Audit | SubSL_1 | Canada | Los Angeles | TAX01 | NaN | 2023-07-28 |
23588 | 3021 | Platinum | Active | Data Strategy | 2023-05-26 | Active | Supervisor | IT | SubSL_2 | USA | Toronto | AI001 | NaN | 2023-08-22 |
94745 | 9433 | Bronze | Inactive | Data Strategy | 2023-01-07 | Inactive | Employee | Audit | SubSL_2 | UK | New York | TAX01 | Leadership | 2022-11-27 |
12890 | 6682 | Silver | Inactive | Finance | 2023-01-01 | Active | Manager | RMS | SubSL_2 | Canada | London | AI001 | Technology | 2023-06-01 |
26513 | 2527 | Gold | Active | Finance | 2023-05-21 | Inactive | Supervisor | RMS | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2022-11-04 |
82254 | 5233 | Platinum | Active | Data Strategy | 2023-08-20 | Inactive | Director | RMS | SubSL_2 | USA | London | TAX01 | NaN | 2023-05-01 |
77348 | 6900 | Silver | Inactive | Marketing | 2022-12-12 | Inactive | Manager | TAX | SubSL_1 | USA | London | DS02 | Leadership | 2022-09-22 |
96261 | 8553 | Platinum | Inactive | HR | 2022-09-28 | Inactive | Employee | Audit | SubSL_1 | USA | Los Angeles | TAX01 | Business | 2023-02-17 |
93091 | 2538 | Silver | Inactive | HR | 2023-06-07 | Active | Director | Audit | SubSL_2 | UK | London | DS02 | Technology | 2023-02-22 |
97400 | 2748 | Gold | Active | HR | 2023-05-11 | Inactive | Director | RMS | SubSL_3 | UK | Toronto | AI001 | NaN | 2023-01-09 |
79391 | 8744 | Silver | Active | IT | 2023-05-28 | Inactive | Employee | TAX | SubSL_3 | UK | Toronto | AI001 | Leadership | 2023-02-11 |
97096 | 8825 | Gold | Inactive | Data Strategy | 2023-02-05 | Inactive | Employee | RMS | SubSL_1 | UK | New York | DS02 | Leadership | 2023-03-06 |
13426 | 7460 | Silver | Inactive | Data Strategy | 2023-02-13 | Inactive | Employee | Consulting | SubSL_3 | Canada | New York | DS02 | Leadership | 2023-01-27 |
14952 | 2485 | Silver | Inactive | HR | 2023-05-08 | Inactive | Manager | RMS | SubSL_2 | Canada | New York | AI001 | Technology | 2023-07-10 |
57441 | 3875 | Silver | Active | HR | 2023-05-14 | Inactive | Manager | RMS | SubSL_2 | UK | London | AI001 | Leadership | 2023-08-28 |
12517 | 1186 | Bronze | Active | Marketing | 2023-04-29 | Active | Employee | IT | SubSL_1 | Canada | Los Angeles | DS02 | NaN | 2023-04-27 |
50074 | 5784 | Silver | Inactive | IT | 2023-09-07 | Active | Supervisor | RMS | SubSL_3 | UK | London | BI002 | Technology | 2022-12-25 |
85826 | 1022 | Gold | Inactive | IT | 2023-05-05 | Inactive | Supervisor | Consulting | SubSL_1 | USA | Los Angeles | TAX01 | Technology | 2023-08-27 |
77476 | 8531 | Bronze | Inactive | Finance | 2023-09-08 | Active | Employee | IT | SubSL_1 | UK | Toronto | TAX01 | Technology | 2023-06-24 |
66670 | 6641 | Platinum | Inactive | Data Strategy | 2023-09-19 | Active | Manager | Consulting | SubSL_2 | USA | New York | BI002 | Business | 2023-07-17 |
64432 | 4603 | Gold | Inactive | Marketing | 2022-10-10 | Inactive | Employee | RMS | SubSL_1 | Canada | Los Angeles | AI001 | NaN | 2023-03-02 |
12824 | 6935 | Gold | Active | IT | 2023-04-09 | Active | Manager | Consulting | SubSL_3 | UK | Toronto | BI002 | Leadership | 2023-05-31 |
38034 | 6928 | Platinum | Active | IT | 2022-12-31 | Active | Manager | RMS | SubSL_1 | USA | London | DS02 | Business | 2023-01-19 |
95009 | 4281 | Gold | Inactive | Marketing | 2023-05-18 | Active | Director | Consulting | SubSL_1 | UK | New York | DS02 | Technology | 2022-12-27 |
58056 | 9069 | Platinum | Inactive | Finance | 2023-08-25 | Inactive | Manager | Audit | SubSL_3 | Canada | New York | DS02 | Leadership | 2023-07-23 |
73206 | 9037 | Platinum | Active | IT | 2022-12-20 | Inactive | Employee | Consulting | SubSL_2 | UK | London | AI001 | NaN | 2023-04-25 |
37568 | 1751 | Gold | Inactive | IT | 2023-04-24 | Inactive | Manager | TAX | SubSL_1 | UK | New York | TAX01 | Business | 2022-10-25 |
52278 | 9258 | Silver | Active | Finance | 2022-11-26 | Active | Employee | IT | SubSL_3 | USA | Los Angeles | TAX01 | Technology | 2023-02-26 |
52991 | 9229 | Silver | Inactive | Data Strategy | 2023-05-01 | Active | Director | RMS | SubSL_1 | USA | New York | TAX01 | Leadership | 2022-12-23 |
56568 | 4472 | Platinum | Inactive | Marketing | 2022-11-08 | Active | Manager | IT | SubSL_1 | USA | London | TAX01 | Technology | 2023-03-28 |
95032 | 3054 | Platinum | Active | Marketing | 2022-11-06 | Inactive | Director | IT | SubSL_1 | Canada | London | TAX01 | NaN | 2023-01-07 |
20602 | 3077 | Bronze | Active | HR | 2023-02-10 | Inactive | Supervisor | TAX | SubSL_1 | UK | London | TAX01 | Business | 2023-02-10 |
42153 | 7124 | Gold | Active | Data Strategy | 2023-02-06 | Active | Employee | Consulting | SubSL_1 | Canada | Toronto | BI002 | Leadership | 2023-07-11 |
53426 | 6061 | Silver | Active | Finance | 2023-01-01 | Inactive | Supervisor | IT | SubSL_1 | USA | London | AI001 | Business | 2023-07-24 |
64313 | 8609 | Gold | Active | Data Strategy | 2023-09-10 | Inactive | Employee | IT | SubSL_3 | UK | Toronto | BI002 | Business | 2023-03-08 |
53921 | 9460 | Silver | Inactive | Finance | 2023-05-13 | Active | Manager | TAX | SubSL_1 | Canada | London | BI002 | Business | 2022-12-12 |
71928 | 8002 | Platinum | Inactive | HR | 2023-09-10 | Active | Manager | RMS | SubSL_1 | USA | New York | TAX01 | Leadership | 2023-04-21 |
88130 | 7067 | Bronze | Active | Marketing | 2023-05-28 | Active | Manager | IT | SubSL_1 | USA | New York | AI001 | Business | 2023-03-28 |
39979 | 7004 | Bronze | Active | HR | 2023-04-02 | Active | Director | TAX | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-01-27 |
46853 | 6614 | Bronze | Active | Data Strategy | 2023-06-02 | Inactive | Manager | IT | SubSL_2 | USA | Los Angeles | AI001 | Business | 2023-04-14 |
48733 | 5771 | Bronze | Inactive | Marketing | 2023-06-30 | Inactive | Employee | TAX | SubSL_3 | Canada | Los Angeles | BI002 | Technology | 2023-03-06 |
22939 | 3962 | Platinum | Active | Marketing | 2023-08-02 | Inactive | Manager | Consulting | SubSL_3 | UK | London | AI001 | Leadership | 2022-09-30 |
34293 | 3696 | Gold | Active | Marketing | 2023-02-04 | Active | Manager | TAX | SubSL_1 | UK | Los Angeles | AI001 | Leadership | 2023-01-25 |
49680 | 3608 | Gold | Active | Finance | 2022-09-24 | Active | Manager | TAX | SubSL_3 | USA | London | AI001 | Technology | 2023-03-04 |
34489 | 4350 | Gold | Active | Finance | 2022-12-21 | Inactive | Manager | Audit | SubSL_2 | Canada | Los Angeles | TAX01 | Leadership | 2022-10-31 |
73565 | 6499 | Platinum | Active | IT | 2022-12-11 | Inactive | Employee | Consulting | SubSL_1 | UK | Los Angeles | AI001 | Leadership | 2023-05-30 |
15333 | 8865 | Silver | Active | HR | 2022-10-01 | Inactive | Supervisor | Audit | SubSL_1 | Canada | London | TAX01 | Technology | 2023-05-04 |
15073 | 9667 | Gold | Inactive | Marketing | 2023-05-21 | Inactive | Supervisor | RMS | SubSL_3 | USA | Los Angeles | DS02 | Leadership | 2022-11-01 |
68580 | 1693 | Gold | Active | IT | 2023-01-29 | Inactive | Manager | RMS | SubSL_1 | UK | Toronto | AI001 | Technology | 2023-05-18 |
33644 | 6245 | Gold | Inactive | Data Strategy | 2022-11-10 | Inactive | Employee | Consulting | SubSL_2 | UK | New York | DS02 | Leadership | 2022-11-28 |
90907 | 5649 | Gold | Inactive | Data Strategy | 2023-04-09 | Active | Supervisor | IT | SubSL_3 | USA | Toronto | TAX01 | Technology | 2022-12-12 |
89463 | 7771 | Silver | Inactive | Finance | 2023-08-26 | Active | Director | Audit | SubSL_1 | UK | Los Angeles | BI002 | Leadership | 2022-10-22 |
29620 | 9433 | Gold | Inactive | HR | 2023-02-01 | Inactive | Director | TAX | SubSL_3 | Canada | New York | TAX01 | Business | 2022-09-22 |
48819 | 6409 | Silver | Active | Data Strategy | 2023-04-30 | Inactive | Employee | Consulting | SubSL_2 | UK | Los Angeles | TAX01 | NaN | 2023-06-10 |
54806 | 4099 | Silver | Active | IT | 2023-07-26 | Inactive | Manager | RMS | SubSL_1 | Canada | Toronto | AI001 | Technology | 2023-03-23 |
98766 | 4096 | Platinum | Active | HR | 2023-07-19 | Inactive | Manager | IT | SubSL_3 | USA | Los Angeles | AI001 | Technology | 2023-08-25 |
78192 | 8952 | Gold | Active | IT | 2022-10-28 | Active | Director | IT | SubSL_3 | USA | Toronto | AI001 | Technology | 2023-01-28 |
25630 | 6992 | Gold | Inactive | Marketing | 2023-01-20 | Inactive | Supervisor | Consulting | SubSL_1 | UK | Los Angeles | BI002 | Technology | 2023-07-23 |
37351 | 5072 | Gold | Inactive | HR | 2023-09-09 | Active | Director | Audit | SubSL_1 | USA | London | BI002 | Business | 2023-08-23 |
86995 | 3656 | Silver | Inactive | HR | 2023-02-19 | Inactive | Director | Audit | SubSL_1 | UK | London | DS02 | Business | 2023-01-13 |
82494 | 6815 | Bronze | Active | IT | 2023-01-04 | Active | Supervisor | Consulting | SubSL_2 | Canada | New York | BI002 | NaN | 2022-12-26 |
81492 | 9196 | Bronze | Active | IT | 2022-11-15 | Inactive | Employee | TAX | SubSL_1 | USA | New York | AI001 | NaN | 2022-10-07 |
64085 | 8938 | Bronze | Active | Marketing | 2022-10-21 | Inactive | Manager | Audit | SubSL_1 | UK | Toronto | AI001 | Leadership | 2023-04-07 |
40964 | 4064 | Gold | Inactive | IT | 2022-10-11 | Active | Manager | Consulting | SubSL_1 | UK | New York | BI002 | NaN | 2022-11-25 |
51957 | 8503 | Silver | Inactive | Marketing | 2023-06-29 | Active | Employee | RMS | SubSL_1 | USA | Los Angeles | BI002 | Business | 2023-05-11 |
61819 | 7479 | Bronze | Inactive | Finance | 2023-07-02 | Active | Supervisor | RMS | SubSL_2 | Canada | Los Angeles | AI001 | Leadership | 2023-03-16 |
82712 | 4437 | Gold | Inactive | IT | 2023-02-06 | Inactive | Manager | IT | SubSL_3 | UK | London | AI001 | NaN | 2023-03-26 |
97055 | 1444 | Platinum | Inactive | Finance | 2022-12-03 | Inactive | Director | Consulting | SubSL_2 | USA | Toronto | TAX01 | Technology | 2022-11-30 |
40552 | 1246 | Gold | Inactive | IT | 2022-10-14 | Active | Supervisor | Audit | SubSL_2 | Canada | Los Angeles | BI002 | NaN | 2023-01-06 |
88343 | 7584 | Silver | Inactive | Data Strategy | 2023-07-12 | Inactive | Supervisor | IT | SubSL_2 | UK | London | AI001 | Technology | 2022-10-15 |
18712 | 3102 | Silver | Active | Marketing | 2023-04-06 | Active | Employee | IT | SubSL_2 | UK | Los Angeles | DS02 | Technology | 2022-12-11 |
21651 | 5168 | Bronze | Active | IT | 2023-01-02 | Active | Manager | Audit | SubSL_3 | Canada | New York | BI002 | Leadership | 2022-11-27 |
86106 | 2520 | Platinum | Inactive | Finance | 2022-10-04 | Active | Director | TAX | SubSL_3 | UK | London | AI001 | Leadership | 2023-01-12 |
34682 | 7769 | Silver | Active | IT | 2023-04-22 | Inactive | Manager | Consulting | SubSL_2 | Canada | Toronto | AI001 | Leadership | 2022-12-27 |
94253 | 7214 | Gold | Inactive | HR | 2023-03-29 | Inactive | Director | Audit | SubSL_3 | USA | Toronto | AI001 | Leadership | 2023-06-30 |
61812 | 5549 | Bronze | Active | Finance | 2022-11-14 | Active | Director | Consulting | SubSL_1 | Canada | New York | BI002 | Leadership | 2022-11-18 |
45840 | 7873 | Silver | Active | Finance | 2023-05-23 | Active | Employee | Consulting | SubSL_2 | UK | New York | BI002 | NaN | 2023-03-08 |
58742 | 3470 | Platinum | Inactive | Data Strategy | 2022-12-04 | Inactive | Director | TAX | SubSL_2 | Canada | Toronto | AI001 | Leadership | 2023-06-03 |
32279 | 6793 | Platinum | Active | Data Strategy | 2023-01-24 | Inactive | Manager | RMS | SubSL_1 | USA | London | DS02 | Business | 2022-11-21 |
93144 | 3604 | Bronze | Active | Data Strategy | 2023-04-14 | Inactive | Manager | TAX | SubSL_3 | UK | London | AI001 | Technology | 2022-12-10 |
28086 | 9057 | Bronze | Inactive | Finance | 2023-04-24 | Inactive | Manager | RMS | SubSL_2 | UK | Toronto | TAX01 | Business | 2023-04-19 |
93275 | 6809 | Silver | Inactive | HR | 2023-06-25 | Active | Director | Consulting | SubSL_1 | USA | Los Angeles | TAX01 | Business | 2023-09-11 |
14852 | 5018 | Platinum | Inactive | HR | 2023-08-28 | Inactive | Employee | IT | SubSL_3 | USA | London | DS02 | Technology | 2023-02-25 |
33766 | 4158 | Silver | Inactive | Marketing | 2023-04-28 | Active | Director | TAX | SubSL_3 | USA | New York | TAX01 | Technology | 2023-05-14 |
51176 | 6305 | Bronze | Active | Marketing | 2023-04-28 | Inactive | Manager | IT | SubSL_2 | UK | London | TAX01 | Business | 2023-03-12 |
14917 | 3831 | Silver | Inactive | IT | 2023-04-29 | Inactive | Director | Audit | SubSL_2 | Canada | Los Angeles | TAX01 | Technology | 2023-02-27 |
58823 | 9307 | Platinum | Active | Data Strategy | 2022-12-01 | Active | Employee | Audit | SubSL_1 | UK | New York | BI002 | Technology | 2023-01-07 |
27922 | 2849 | Platinum | Active | IT | 2022-11-18 | Active | Manager | RMS | SubSL_1 | USA | Los Angeles | TAX01 | Technology | 2022-11-26 |
91700 | 5138 | Platinum | Active | IT | 2023-08-20 | Inactive | Director | RMS | SubSL_3 | USA | New York | DS02 | Leadership | 2022-10-26 |
70455 | 2407 | Platinum | Inactive | IT | 2023-09-17 | Inactive | Manager | IT | SubSL_3 | USA | London | BI002 | NaN | 2022-10-03 |
26656 | 3538 | Gold | Active | Data Strategy | 2023-04-10 | Active | Employee | TAX | SubSL_2 | USA | London | BI002 | Technology | 2022-09-29 |
67084 | 7396 | Silver | Inactive | Data Strategy | 2023-01-31 | Inactive | Director | RMS | SubSL_1 | Canada | Los Angeles | AI001 | NaN | 2023-07-19 |
33409 | 8895 | Gold | Active | Marketing | 2023-05-16 | Inactive | Supervisor | IT | SubSL_1 | Canada | New York | BI002 | Leadership | 2022-12-20 |
11720 | 7650 | Platinum | Inactive | IT | 2022-10-13 | Active | Supervisor | RMS | SubSL_3 | Canada | Toronto | BI002 | NaN | 2023-08-28 |
49130 | 1593 | Gold | Inactive | HR | 2022-12-22 | Inactive | Employee | Consulting | SubSL_3 | USA | Los Angeles | DS02 | NaN | 2023-01-30 |
69258 | 5176 | Silver | Inactive | Data Strategy | 2022-11-04 | Inactive | Employee | Consulting | SubSL_2 | UK | Los Angeles | TAX01 | NaN | 2022-10-08 |
80427 | 5849 | Silver | Inactive | Finance | 2022-11-09 | Active | Employee | Audit | SubSL_2 | Canada | Toronto | AI001 | Business | 2023-07-05 |
86813 | 1846 | Platinum | Inactive | Finance | 2023-03-10 | Inactive | Director | IT | SubSL_1 | UK | Toronto | BI002 | NaN | 2023-05-08 |
53015 | 9925 | Silver | Active | Data Strategy | 2023-07-05 | Active | Director | IT | SubSL_3 | UK | New York | TAX01 | NaN | 2023-05-04 |
53412 | 7791 | Silver | Inactive | Marketing | 2023-06-08 | Active | Employee | TAX | SubSL_2 | UK | New York | DS02 | NaN | 2023-07-01 |
85402 | 9697 | Platinum | Inactive | IT | 2023-07-25 | Active | Employee | Consulting | SubSL_1 | UK | New York | DS02 | NaN | 2023-02-09 |
12418 | 4217 | Gold | Inactive | IT | 2023-06-07 | Active | Manager | RMS | SubSL_3 | USA | London | AI001 | Technology | 2023-09-18 |
85554 | 1663 | Platinum | Active | Finance | 2023-07-12 | Inactive | Director | RMS | SubSL_3 | Canada | London | AI001 | Business | 2023-01-01 |
25560 | 1750 | Platinum | Inactive | Finance | 2023-02-14 | Active | Director | Consulting | SubSL_1 | Canada | London | DS02 | Business | 2023-02-07 |
85109 | 5497 | Platinum | Inactive | HR | 2022-11-15 | Active | Employee | IT | SubSL_1 | Canada | New York | TAX01 | Technology | 2023-07-31 |
80861 | 2982 | Silver | Active | Data Strategy | 2023-08-03 | Active | Employee | TAX | SubSL_2 | UK | Toronto | TAX01 | NaN | 2023-04-15 |
92464 | 8479 | Platinum | Inactive | Finance | 2023-09-09 | Inactive | Manager | TAX | SubSL_1 | UK | London | TAX01 | Business | 2022-10-21 |
73173 | 1169 | Gold | Active | IT | 2023-02-20 | Active | Employee | RMS | SubSL_3 | UK | Toronto | TAX01 | Technology | 2022-12-18 |
93852 | 5254 | Gold | Active | IT | 2022-09-20 | Active | Director | RMS | SubSL_1 | USA | Toronto | DS02 | NaN | 2023-09-02 |
12752 | 5891 | Gold | Active | IT | 2023-09-15 | Inactive | Employee | Audit | SubSL_1 | USA | New York | TAX01 | Business | 2022-11-27 |
11570 | 7369 | Platinum | Active | Marketing | 2023-04-15 | Inactive | Employee | Audit | SubSL_1 | USA | New York | DS02 | NaN | 2022-12-18 |
90505 | 5938 | Silver | Active | HR | 2023-07-15 | Inactive | Employee | RMS | SubSL_3 | Canada | Toronto | BI002 | Business | 2023-09-08 |
52122 | 8572 | Platinum | Inactive | Marketing | 2022-11-27 | Active | Employee | TAX | SubSL_1 | Canada | Los Angeles | DS02 | Leadership | 2023-04-10 |
66734 | 9793 | Bronze | Inactive | HR | 2023-01-13 | Active | Employee | Consulting | SubSL_1 | UK | New York | BI002 | Business | 2023-08-02 |
70980 | 7800 | Bronze | Active | HR | 2023-04-17 | Active | Manager | Consulting | SubSL_1 | Canada | New York | AI001 | NaN | 2023-08-26 |
78771 | 9601 | Silver | Inactive | Data Strategy | 2023-05-02 | Active | Manager | TAX | SubSL_3 | Canada | Toronto | AI001 | NaN | 2022-12-11 |
75239 | 2692 | Bronze | Active | Data Strategy | 2023-07-22 | Active | Manager | RMS | SubSL_2 | UK | London | DS02 | Technology | 2022-10-11 |
46775 | 2459 | Bronze | Active | HR | 2023-09-15 | Active | Manager | Consulting | SubSL_3 | USA | Toronto | DS02 | NaN | 2022-11-21 |
74268 | 1958 | Platinum | Inactive | Data Strategy | 2022-11-01 | Inactive | Director | IT | SubSL_1 | USA | Toronto | AI001 | NaN | 2023-04-23 |
16275 | 2967 | Silver | Active | HR | 2023-07-06 | Inactive | Employee | Audit | SubSL_2 | Canada | London | BI002 | NaN | 2023-02-24 |
26250 | 9124 | Bronze | Inactive | IT | 2023-09-01 | Active | Manager | TAX | SubSL_2 | UK | New York | TAX01 | Leadership | 2022-10-06 |
23683 | 8981 | Platinum | Inactive | IT | 2022-12-04 | Inactive | Manager | RMS | SubSL_3 | Canada | Los Angeles | DS02 | Business | 2023-06-07 |
10520 | 8662 | Bronze | Active | HR | 2023-06-12 | Inactive | Supervisor | TAX | SubSL_3 | Canada | New York | TAX01 | Leadership | 2023-09-08 |
48276 | 9798 | Platinum | Active | Marketing | 2022-11-17 | Active | Supervisor | RMS | SubSL_3 | UK | Los Angeles | DS02 | Business | 2023-01-10 |
50411 | 7463 | Bronze | Active | Data Strategy | 2023-07-14 | Inactive | Employee | Consulting | SubSL_2 | Canada | New York | BI002 | Leadership | 2023-02-03 |
87975 | 4717 | Bronze | Inactive | Marketing | 2023-01-19 | Inactive | Director | Consulting | SubSL_3 | USA | Toronto | DS02 | NaN | 2023-07-05 |
82196 | 2835 | Platinum | Inactive | Data Strategy | 2022-10-13 | Active | Employee | Consulting | SubSL_1 | USA | Los Angeles | TAX01 | Leadership | 2023-08-17 |
69782 | 9909 | Gold | Active | IT | 2023-01-08 | Inactive | Director | Audit | SubSL_2 | USA | London | AI001 | Leadership | 2023-07-03 |
67243 | 3623 | Gold | Active | HR | 2023-01-31 | Active | Director | RMS | SubSL_2 | Canada | London | DS02 | Leadership | 2022-09-30 |
67286 | 1642 | Bronze | Active | HR | 2023-06-12 | Active | Employee | RMS | SubSL_1 | UK | New York | DS02 | Leadership | 2022-11-29 |
52561 | 1313 | Platinum | Inactive | Data Strategy | 2023-08-09 | Active | Employee | Audit | SubSL_1 | USA | New York | TAX01 | Leadership | 2023-03-09 |
81096 | 5253 | Silver | Active | IT | 2023-05-31 | Active | Employee | Consulting | SubSL_2 | USA | New York | AI001 | Leadership | 2022-11-11 |
42115 | 4026 | Gold | Active | HR | 2022-12-05 | Inactive | Supervisor | Audit | SubSL_1 | UK | London | TAX01 | Business | 2023-05-04 |
91979 | 5542 | Bronze | Inactive | IT | 2022-09-26 | Inactive | Director | TAX | SubSL_1 | UK | London | AI001 | Business | 2022-11-01 |
47726 | 9891 | Gold | Active | Finance | 2023-01-10 | Active | Manager | TAX | SubSL_1 | USA | New York | AI001 | Technology | 2023-05-30 |
79641 | 5203 | Platinum | Active | HR | 2023-09-03 | Inactive | Supervisor | RMS | SubSL_1 | USA | Toronto | DS02 | NaN | 2022-12-19 |
91701 | 5552 | Bronze | Active | Data Strategy | 2023-07-08 | Inactive | Director | RMS | SubSL_3 | Canada | Toronto | AI001 | Leadership | 2023-05-31 |
23453 | 3275 | Platinum | Active | Finance | 2023-04-17 | Inactive | Manager | IT | SubSL_2 | UK | Toronto | DS02 | Technology | 2023-06-22 |
95650 | 2651 | Silver | Inactive | IT | 2022-11-15 | Active | Manager | Audit | SubSL_1 | Canada | Los Angeles | DS02 | NaN | 2023-04-10 |
83136 | 3142 | Platinum | Inactive | Marketing | 2023-02-23 | Active | Director | Audit | SubSL_1 | Canada | Los Angeles | DS02 | Business | 2023-03-19 |
61825 | 4441 | Bronze | Active | Finance | 2022-10-20 | Inactive | Employee | Audit | SubSL_2 | UK | New York | BI002 | NaN | 2023-08-15 |
26846 | 2747 | Platinum | Active | IT | 2022-10-08 | Inactive | Employee | Consulting | SubSL_1 | USA | London | AI001 | Technology | 2023-07-13 |
53720 | 8799 | Platinum | Active | Data Strategy | 2023-06-29 | Inactive | Director | IT | SubSL_1 | USA | New York | BI002 | Technology | 2023-06-24 |
87087 | 5888 | Gold | Inactive | Marketing | 2023-07-11 | Active | Supervisor | RMS | SubSL_2 | Canada | Los Angeles | AI001 | Leadership | 2023-08-01 |
48493 | 4436 | Bronze | Inactive | Finance | 2023-01-27 | Inactive | Manager | IT | SubSL_2 | Canada | London | TAX01 | Leadership | 2023-06-09 |
59019 | 1881 | Silver | Active | Finance | 2023-04-26 | Inactive | Manager | IT | SubSL_3 | UK | Toronto | TAX01 | Technology | 2023-04-15 |
61147 | 3164 | Bronze | Active | Finance | 2022-10-11 | Active | Manager | Consulting | SubSL_2 | Canada | New York | TAX01 | Leadership | 2023-07-21 |
89504 | 8019 | Gold | Active | Marketing | 2023-02-06 | Active | Supervisor | TAX | SubSL_1 | USA | London | DS02 | Leadership | 2023-09-02 |
36996 | 3654 | Gold | Inactive | IT | 2023-09-09 | Active | Manager | RMS | SubSL_1 | Canada | London | AI001 | Leadership | 2023-01-04 |
38119 | 7958 | Bronze | Inactive | HR | 2023-03-23 | Active | Supervisor | TAX | SubSL_1 | Canada | Toronto | DS02 | Leadership | 2023-08-08 |
91677 | 4141 | Bronze | Inactive | Marketing | 2022-10-22 | Inactive | Supervisor | TAX | SubSL_3 | UK | Toronto | TAX01 | Leadership | 2023-08-18 |
17818 | 4767 | Silver | Active | Finance | 2023-07-08 | Inactive | Supervisor | Consulting | SubSL_1 | Canada | Toronto | AI001 | Leadership | 2022-10-11 |
17922 | 5602 | Gold | Active | HR | 2023-06-11 | Active | Manager | Consulting | SubSL_3 | UK | London | TAX01 | NaN | 2023-06-24 |
96456 | 7099 | Platinum | Inactive | Finance | 2022-12-25 | Inactive | Employee | TAX | SubSL_2 | Canada | New York | AI001 | NaN | 2023-07-20 |
31373 | 3537 | Gold | Active | IT | 2023-07-14 | Inactive | Manager | RMS | SubSL_3 | UK | Los Angeles | DS02 | Business | 2023-05-15 |
89298 | 3879 | Bronze | Active | HR | 2022-10-12 | Inactive | Manager | Audit | SubSL_3 | Canada | Los Angeles | TAX01 | Leadership | 2023-02-14 |
44596 | 6010 | Gold | Inactive | IT | 2023-07-12 | Inactive | Director | IT | SubSL_1 | USA | London | DS02 | Leadership | 2023-07-24 |
55390 | 1875 | Gold | Active | IT | 2022-10-12 | Inactive | Employee | Audit | SubSL_3 | USA | Toronto | AI001 | Leadership | 2023-06-27 |
34553 | 7671 | Platinum | Inactive | Finance | 2023-04-10 | Inactive | Manager | Audit | SubSL_2 | UK | New York | TAX01 | Business | 2022-11-24 |
67234 | 4625 | Gold | Inactive | HR | 2022-11-17 | Active | Manager | TAX | SubSL_3 | USA | Toronto | BI002 | Leadership | 2023-04-24 |
30211 | 7764 | Bronze | Active | HR | 2023-01-25 | Inactive | Supervisor | TAX | SubSL_2 | Canada | Toronto | AI001 | NaN | 2023-02-22 |
46497 | 8016 | Silver | Inactive | Marketing | 2022-10-02 | Active | Employee | RMS | SubSL_1 | UK | Toronto | BI002 | NaN | 2023-06-06 |
46837 | 1361 | Bronze | Inactive | Data Strategy | 2023-01-16 | Active | Supervisor | TAX | SubSL_2 | Canada | London | DS02 | Leadership | 2022-10-03 |
43782 | 1162 | Platinum | Active | Finance | 2022-12-03 | Inactive | Director | Consulting | SubSL_3 | Canada | Los Angeles | AI001 | Business | 2023-06-13 |
62716 | 9080 | Gold | Inactive | Data Strategy | 2022-12-14 | Active | Employee | IT | SubSL_3 | UK | New York | DS02 | Technology | 2023-09-12 |
53655 | 5358 | Bronze | Inactive | IT | 2023-05-20 | Active | Director | Audit | SubSL_2 | Canada | New York | TAX01 | Business | 2023-01-09 |
79252 | 1575 | Silver | Inactive | Finance | 2022-11-14 | Active | Employee | Audit | SubSL_1 | USA | Toronto | AI001 | Business | 2022-11-14 |
57812 | 1561 | Gold | Active | HR | 2022-12-09 | Active | Employee | Consulting | SubSL_1 | UK | New York | BI002 | NaN | 2022-12-17 |
77768 | 7249 | Silver | Inactive | Data Strategy | 2023-08-06 | Active | Manager | TAX | SubSL_3 | USA | London | BI002 | NaN | 2023-04-23 |
28083 | 8871 | Platinum | Active | Data Strategy | 2023-04-14 | Active | Employee | Consulting | SubSL_1 | USA | New York | TAX01 | Technology | 2023-08-27 |
90112 | 4853 | Bronze | Active | Data Strategy | 2023-06-13 | Active | Employee | IT | SubSL_3 | UK | Toronto | TAX01 | NaN | 2023-03-01 |
13900 | 4512 | Bronze | Inactive | Marketing | 2022-10-11 | Active | Director | TAX | SubSL_1 | UK | New York | DS02 | NaN | 2023-07-08 |
80993 | 4137 | Gold | Inactive | Data Strategy | 2023-05-23 | Inactive | Employee | RMS | SubSL_2 | USA | Toronto | AI001 | Leadership | 2022-10-27 |
23852 | 4866 | Platinum | Active | HR | 2022-11-06 | Active | Manager | Consulting | SubSL_2 | Canada | London | TAX01 | Business | 2023-09-03 |
61620 | 3378 | Silver | Inactive | Marketing | 2023-02-10 | Active | Director | Consulting | SubSL_3 | UK | New York | DS02 | Leadership | 2023-01-26 |
28811 | 7313 | Gold | Inactive | Marketing | 2023-01-25 | Active | Manager | RMS | SubSL_1 | USA | London | BI002 | Technology | 2023-05-29 |
21048 | 9789 | Platinum | Active | Marketing | 2023-07-29 | Inactive | Employee | TAX | SubSL_2 | Canada | Toronto | AI001 | Technology | 2023-03-17 |
37664 | 9789 | Bronze | Inactive | Data Strategy | 2022-11-12 | Active | Director | Consulting | SubSL_2 | UK | London | BI002 | Leadership | 2023-07-17 |
59203 | 3523 | Platinum | Inactive | Data Strategy | 2022-12-21 | Active | Manager | IT | SubSL_2 | UK | New York | AI001 | Technology | 2023-02-02 |
87719 | 8499 | Platinum | Inactive | IT | 2022-12-03 | Active | Employee | TAX | SubSL_2 | USA | London | AI001 | Technology | 2023-08-08 |
72867 | 5073 | Platinum | Inactive | IT | 2022-11-17 | Active | Supervisor | RMS | SubSL_2 | UK | New York | BI002 | Business | 2023-09-15 |
51937 | 1958 | Bronze | Active | HR | 2023-07-29 | Inactive | Director | RMS | SubSL_1 | Canada | Toronto | AI001 | Business | 2023-03-27 |
82766 | 2146 | Platinum | Inactive | Marketing | 2023-01-15 | Inactive | Employee | RMS | SubSL_2 | USA | Toronto | DS02 | Technology | 2022-12-25 |
34425 | 8832 | Platinum | Inactive | IT | 2023-06-24 | Active | Employee | TAX | SubSL_2 | UK | Los Angeles | TAX01 | Leadership | 2023-01-09 |
27931 | 7350 | Gold | Active | IT | 2023-07-30 | Active | Employee | IT | SubSL_1 | UK | New York | TAX01 | NaN | 2023-06-18 |
87783 | 7024 | Silver | Active | Finance | 2023-04-27 | Inactive | Employee | IT | SubSL_1 | UK | London | TAX01 | Technology | 2023-01-18 |
22357 | 8490 | Bronze | Active | Marketing | 2023-04-26 | Inactive | Supervisor | IT | SubSL_2 | USA | Toronto | DS02 | Business | 2023-07-30 |
72798 | 5885 | Gold | Inactive | IT | 2023-08-25 | Active | Employee | RMS | SubSL_2 | UK | Los Angeles | DS02 | Leadership | 2022-11-06 |
70353 | 1730 | Platinum | Active | IT | 2023-02-04 | Active | Supervisor | Audit | SubSL_1 | Canada | Los Angeles | DS02 | Leadership | 2022-10-30 |
11247 | 9531 | Gold | Active | HR | 2022-10-08 | Active | Manager | IT | SubSL_2 | USA | London | DS02 | Business | 2023-07-21 |
79335 | 1349 | Bronze | Active | IT | 2023-04-02 | Active | Director | Consulting | SubSL_3 | Canada | Los Angeles | AI001 | Leadership | 2022-12-25 |
79503 | 6539 | Silver | Active | Finance | 2023-05-20 | Active | Employee | Consulting | SubSL_2 | UK | New York | BI002 | Business | 2023-02-10 |
36696 | 4820 | Bronze | Active | IT | 2023-04-19 | Active | Director | RMS | SubSL_3 | UK | Toronto | AI001 | Technology | 2023-04-20 |
88187 | 8755 | Gold | Inactive | HR | 2023-04-27 | Inactive | Director | RMS | SubSL_3 | Canada | Los Angeles | DS02 | Technology | 2022-10-24 |
92892 | 9130 | Silver | Inactive | Marketing | 2022-10-03 | Active | Supervisor | TAX | SubSL_3 | UK | Los Angeles | DS02 | Technology | 2023-04-22 |
82286 | 2701 | Silver | Inactive | IT | 2023-08-28 | Inactive | Director | Audit | SubSL_3 | Canada | New York | AI001 | Business | 2022-10-21 |
46850 | 2056 | Gold | Active | Data Strategy | 2023-04-21 | Inactive | Supervisor | Consulting | SubSL_2 | UK | Toronto | DS02 | Business | 2023-07-28 |
71047 | 6502 | Silver | Inactive | Marketing | 2022-12-25 | Inactive | Employee | Consulting | SubSL_3 | Canada | London | BI002 | Technology | 2023-04-27 |
17374 | 8594 | Silver | Inactive | Marketing | 2023-01-29 | Inactive | Employee | Audit | SubSL_2 | USA | London | BI002 | Business | 2022-11-24 |
17230 | 5748 | Silver | Active | Marketing | 2023-08-09 | Inactive | Employee | RMS | SubSL_1 | USA | New York | DS02 | Business | 2023-06-18 |
99103 | 9343 | Platinum | Inactive | Data Strategy | 2023-08-10 | Active | Employee | TAX | SubSL_2 | UK | London | BI002 | Business | 2023-01-15 |
71356 | 4140 | Silver | Active | Marketing | 2023-01-08 | Active | Manager | RMS | SubSL_3 | Canada | London | BI002 | NaN | 2023-05-26 |
92814 | 5254 | Gold | Active | Marketing | 2022-12-01 | Active | Employee | TAX | SubSL_1 | UK | Los Angeles | TAX01 | Technology | 2023-08-18 |
33456 | 9267 | Platinum | Inactive | Marketing | 2022-11-04 | Active | Manager | TAX | SubSL_3 | USA | New York | DS02 | Leadership | 2022-10-01 |
22476 | 8201 | Silver | Inactive | Finance | 2022-11-06 | Inactive | Supervisor | IT | SubSL_3 | USA | Toronto | TAX01 | NaN | 2023-05-23 |
26341 | 9274 | Gold | Inactive | Finance | 2023-09-03 | Active | Supervisor | RMS | SubSL_2 | Canada | London | AI001 | Leadership | 2023-04-12 |
22144 | 2206 | Bronze | Inactive | Marketing | 2023-04-25 | Inactive | Supervisor | Consulting | SubSL_2 | UK | Toronto | TAX01 | Leadership | 2023-07-04 |
92207 | 4106 | Platinum | Active | Data Strategy | 2023-03-04 | Inactive | Director | Audit | SubSL_2 | UK | New York | BI002 | Business | 2022-12-21 |
27548 | 6728 | Silver | Active | Finance | 2022-10-09 | Inactive | Employee | RMS | SubSL_3 | Canada | Toronto | TAX01 | Business | 2023-03-28 |