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Senior Data Scientist, People Analytics & Research
$180K–$210K
Remote - USA +1 · Remote · Senior · Full-time · Posted Oct 19, 2026
- Location
- Remote - USA
United States - Experience
- 5+ years in industry experience.
- Education
- Master's degree/PhD in a quantitative field.
About the job
Leads rigorous people analytics research using observational workforce data to inform hiring, compensation, fairness, retention, and organizational decisions.
What you'll do
- Apply causal inference and quasi-experimental methods to workforce questions, and translate findings into insights and recommendations for leaders.
- Lead compensation analytics and partner with Employment Legal and Total Rewards on sensitive analyses; lead quality-of-hire measurement and statutory and governance reporting.
- Partner with stakeholders to analyze people data, communicate findings through visualizations and narratives, and use AI tools to accelerate research.
What they ask for
- Deep experience with causal inference on observational data and quasi-experimental research design and analysis.
- Proficiency in R or Python for statistical analysis, and SQL for data access.
- Experience applying data science to compensation, recruiting, or workforce and organizational questions, including legally sensitive data.
- Experience working with large practical datasets and communicating effectively with cross-functional partners.
Nice to have
- Familiarity with survey design and analysis.
Pay
$180,000 — $210,000 USD (base salary)
Tools
R, Python, SQL, AirPanda, LLM-based agents
AI focus
Use AI, including AirPanda and LLM-based agents, to accelerate analysis, prototyping, and synthesis and extend individual researcher capacity.
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