Senior Data Scientist, People Analytics & Research
Core
Lead rigorous inferential research on observational people data using causal inference and quasi-experimental methods to answer high-stakes workforce questions about recruiting, hiring, promotion, retention, and pay equity.
Role type
Senior IC data scientist (people analytics & research)
Builds
Causal research insights, compensation analytics, quality-of-hire metrics, and statutory/governance reports for Total Rewards and HR leaders.
Domain
People Analytics & Research (Workforce Analytics)
Deliverable
production ML models | dashboards & analysis
Required skills
causal inference, quasi-experimental research design, statistical modeling, R, Python, SQL, survey design and analysis, compensation analytics, legally sensitive data handling
Preferred skills
AI fluency (LLM-based agents), large practical dataset experience
Responsibilities
Collaborate with stakeholders to understand people-related business problems and gather relevant data; Utilize statistical models to gain insights on recruiting, hiring, promotion, retention, pay equity, and organizational effectiveness; Lead the team's compensation analytics and quality-of-hire metric design; Translate data and insights into visualizations and stories to drive strategy and decision-making; Align research priorities with business priorities.
Seniority
Senior, hands-on IC
