Staff Data Scientist — Predictive Talent Intelligence

Robinhood; Bellevue, Chicago, Menlo Park, New York (WA, IL, CA, NY); On-site; USD 217,000 - 255,000; Full time

Benefits offered by this job

Bonus programs

Equity ownership

401(k) matching

Health insurance

Job summary

Robinhood is building the future of finance and is expanding its Talent Management & Analytics team. We are seeking bold thinkers to apply predictive insights and AI to workforce decisions, with real-world impact across the company.

As a Staff Data Scientist, you will own the vision, design, and delivery of high-impact data products that executives, people partners, and line managers rely on daily. This role uses state-of-the-art language models and analytical methods to tackle meaningful talent

Qualifications

• 7+ years of data science experience.
• Strong Python, SQL, and ML fundamentals.
• Experience with modern data infra like Snowflake, BigQuery, or dbt.
• Experience integrating language models into data pipelines.

Responsibilities

• Spearhead the next phase of talent intelligence with predictive frameworks.
• Architect a unified workforce data model across recruiting, performance, surveys, and tools.
• Define the metrics dictionary and semantic layer for consistent measurements.
• Drive data access governance and security for HR, Finance, and managers.
• Redesign employee sentiment architecture with continuous listening to surface risks.
• Own internal data interfaces and collaborate with Enterprise Engineering for reliability.
• Apply experimental design and psychometrics to validate models.

Skills

Python

SQL

Machine Learning

Data Modeling

NLP/ language models

Tools

Snowflake

BigQuery

dbt

Job description

Robinhood is building the future of finance and is expanding its Talent Management & Analytics team. We are seeking bold thinkers to apply predictive insights and AI to workforce decisions, with real-world impact across the company.

As a Staff Data Scientist, you will own the vision, design, and delivery of high-impact data products that executives, people partners, and line managers rely on daily. This role uses state-of-the-art language models and analytical methods to tackle meaningful talent