The HR Data Scientist will partner with HR leadership to build scalable AI and predictive insights that support proactive, data-driven decision-making
Job Summary
The HR Data Scientist will partner with HR leadership to build scalable AI and predictive insights that support proactive, data-driven decision-making.
Key responsibilities include designing and maintaining predictive models for workforce outcomes such as attrition, internal mobility, and hiring funnel performance.
The role offers a competitive base pay range of $87,400.00 - $148,600.00 annually along with comprehensive benefits including medical, dental, vision, and 401(K) matching.
Matching Summary
The HR Data Scientist will partner with HR leadership to build scalable AI and predictive insights that support proactive, data-driven decision-making.
Salary
Base: $87,400.00 - $148,600.00 Annually; Bonus/Equity: Performance incentive programs and ESPP available; Benefits: Medical, dental, vision, life, 401(K), tuition reimbursement, EAP, paid time off
Skills & Requirements
Must-have
Apply machine learning to people analytics
Design predictive models for attrition risk
Translate HR business questions into solutions
Proficiency in Python or R programming
Experience with Workday data systems
Nice-to-have
Familiarity with unsupervised learning techniques
Experience with model explainability and governance
Knowledge of tree-based models like XGBoost
Collaboration with data engineering teams
Experience with Copilot and other AI tools
Key Requirements
Bachelor's degree plus 5 years experience
2+ years in data science or advanced analytics
Direct experience in HR or workforce analytics
Hands-on experience with supervised learning techniques