Staff Data Scientist, ML (People Analytics & Insights)

Robinhood • Chicago, IL

3d • $170,000 - $255,000 • Hybrid

About The Position

Robinhood is seeking a Staff Data Scientist to join the Talent Management & Analytics team. This role will focus on integrating advanced predictive insights and tactical AI into workforce systems, aiming to help the company recruit talent, design high-performing teams, and provide organizational insights to decision-makers. The position operates at the intersection of data science, product development, and organizational psychology. The Staff Data Scientist will be a technical and strategic anchor, responsible for the vision, design, and delivery of high-impact data products for executives, people partners, and line managers. The role involves solving organizational problems related to talent thriving, team performance, and long-term retention, with an emphasis on applying state-of-the-art language models and predictive analytics. This role is based in Menlo Park, CA, Chicago, IL, and New York, NY offices, requiring in-person attendance at least 3 days per week, emphasizing the value Robinhood places on in-person collaboration for progress, innovation, and community.

Requirements

• 7+ years of data science experience.
• Advanced skills in Python and SQL.
• Direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt.
• Strong product focus and experience defining user requirements, collaborating with engineers, and launching internal data tools.
• Deep understanding of statistics, experimental design, and psychometrics or survey methodology.
• Direct experience integrating language models into data pipelines for text processing and summarization.

Responsibilities

• Spearhead the next phase of talent intelligence by building predictive frameworks that forecast workforce trends.
• Architect a unified workforce data model by integrating data from various systems and using AI-native workflows for text processing.
• Define the metrics dictionary and semantic layer to standardize workforce metric measurement.
• Drive data access control and governance to ensure secure and appropriate access to sensitive personnel data.
• Redesign employee sentiment architecture for a continuous, real-time listening framework.
• Own product delivery as the technical product owner for internal data interfaces, collaborating with Enterprise Engineering.
• Enforce rigorous statistical standards using experimental design, A/B testing, and psychometric methodologies.

Benefits

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• 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 & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed