Staff Data Scientist (People Analytics & Insights)

As a Staff Data Scientist on Robinhood's Talent Management & Analytics team, you will serve as the technical and strategic anchor for high-impact data products that executives, people partners, and line managers rely on every day. You'll own the vision, design, and delivery of solutions that solve meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. Operating at the intersection of data science, product development, and organizational psychology, you'll transform how Robinhood uses data to empower its workforce and anticipate organizational needs.

What you'll do

• Spearhead the next phase of talent intelligence by building predictive frameworks that show not just what is happening in the workforce, but what will happen next.
• Architect a unified workforce data model by pipelining data across recruiting systems, performance cycles, surveys, and internal tools into a single cohesive model that maps the entire employee lifecycle; use AI-native workflows to parse unstructured text like exit notes and survey feedback at scale.
• Define the metrics dictionary and semantic layer to standardize how metrics like headcount, attrition, and workforce trends are measured across the company.
• Drive data access control and governance by building frameworks for role-based access controls and data masking so HR, Finance, and line managers have the access they need without risking sensitive personnel data.
• Redesign employee sentiment architecture to replace traditional annual survey cycles with a continuous, always-on listening framework that captures real-time organizational health and highlights leading risk indicators.
• Own product delivery as the technical product owner for internal data interfaces, collaborating directly with Enterprise Engineering to ensure exceptional user utility, predictive accuracy, and data reliability.
• Enforce rigorous statistical standards by applying experimental design, A/B testing, and psychometric methodologies to ensure predictive workforce models and survey frameworks are scientifically backed and statistically valid.

What you bring

• 7+ years of data science experience with advanced skills in Python, SQL, and direct experience with modern data infrastructure such as Snowflake, BigQuery, or dbt.
• A strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch.
• A deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions.
• Direct experience integrating language models into data pipelines to automate text processing and summarization at scale.

What we offer

• Base pay ranges by location: $217,000-$255,000 USD (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC), $191,000-$224,000 USD (Denver, CO; Westlake, TX; Chicago, IL), or $170,000-$199,000 USD (Lake Mary, FL; Clearwater, FL; Gainesville, FL).
• Bonus opportunities and equity ownership.
• 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet, a flexible benefits spending account for wellness, learning, and more.
• Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
• Time off including company holidays, paid time off, sick time, and parental leave.
• Catered meals, events, and comfortable office workspaces.
• 401(k) matching.

This role is based in Menlo Park, CA, Chicago, IL, or New York, NY, with in-person attendance expected at least 3 days per week.

About Robinhood

Robinhood's mission is to democratize finance for all. The company is building an elite team applying frontier technologies to the world's biggest financial problems, with ethics at the center of everything it does.