Tell clear, business-relevant stories about our talent using data and insights.
Get hands-on with AI to explore where it meaningfully improves insight generation, decision support, and experimentation.
Design, own, and evolve the People data foundation, including pipelines and BigQuery data models, in partnership with Data Engineering and HR Operations
Build scalable analytics products and tools, including Tableau dashboards and AI-enabled products
Partner cross-functionally with People Team and business leaders to identify and scope high-impact talent questions, analyze using quantitative methods, and translate insights into clear, actionable recommendations.
Own initiatives end-to-end across the People Team (Recruiting, Talent Management, DEIB, and more).
Foster a culture of data-informed decision-making across the People Team and the broader organization.

BA/BS degree in quantitative field such as Economics, Statistics, or Psychology
4+ years of experience, with at least 1 year in People Data Science/ People Analytics
Experience (and interest) in managing data pipelines and data warehousing
Strong written and verbal communication skills: this role will require writing content and explaining results to a variety of audiences, including senior leadership
Strong experience using SQL to query large datasets, proficiency with Tableau and familiarity with statistics/programming languages (e.g., R, Python)
Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams
Strong prioritization and project management skills

Senior Data Scientist, People Analytics

Key skills