Staff Data Scientist, ML (People Analytics & Insights)
About The Position
Join Robinhood in building the future of finance, focusing on democratizing finance for all. This role is part of an elite team applying frontier technologies to significant financial problems, seeking bold thinkers and sharp problem-solvers. The Talent Management & Analytics team is scaling to integrate advanced predictive insights and AI into workforce systems, aiming to build data solutions for recruiting, designing high-performing teams, and providing organizational insights. This position operates at the intersection of data science, product development, and organizational psychology, transforming how Robinhood uses data to empower its workforce. As a Staff Data Scientist, you will be the technical and strategic anchor, owning the vision, design, and delivery of high-impact data products for executives, people partners, and line managers. The focus is on solving meaningful organizational problems related to exceptional talent, team performance, and long-term retention, with a unique opportunity to apply state-of-the-art language models and predictive analytics to critical talent problems. 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 of in-person work 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 pipelining data from various systems and using AI-native workflows to process unstructured text.
- Define the metrics dictionary and semantic layer to standardize workforce metrics and ensure data consistency.
- Drive data access control and governance to ensure secure and appropriate access to sensitive personnel data.
- Redesign employee sentiment architecture for a continuous listening framework to capture real-time organizational health.
- Own product delivery as the technical product owner for internal data interfaces, collaborating with Enterprise Engineering.
- Enforce rigorous statistical standards by applying 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.
- 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.
- Mental health benefits.
- Company holidays.
- Paid time off.
- Sick time.
- Parental leave.
- Exceptional office experience with catered meals, events, and comfortable workspaces.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
