Staff Data Scientist - Talent Intelligence & Predictive AI

Robinhood

Bellevue (WA)

On-site

USD 217,000 - 255,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Equity ownership
401(k) matching
Wellness benefits
Parental leave
Company holidays

Job summary

Robinhood is building an elite Talent Management & Analytics team to bring predictive insights and AI into workforce systems. Staff Data Scientist will own the vision, design, and delivery of high-impact data products used by executives, people partners, and managers.

The role focuses on solving organizational problems, applying state-of-the-art language models, and ensuring predictive accuracy and data reliability across Robinhood’s workforce initiatives.

Qualifications

  • 7+ years of data science experience with Python and SQL.
  • Strong product focus and experience defining user requirements and launching internal data tools.
  • Deep understanding of statistics, experimental design, and psychometrics or survey methodology.

Responsibilities

  • Spearhead the next phase of talent intelligence and build predictive frameworks.
  • Architect a unified workforce data model across recruiting systems and surveys.
  • Define metrics dictionary and semantic layer for headcount, attrition, and trends.
  • Drive data access control and governance for sensitive data.
  • Redesign employee sentiment architecture with continuous listening and real-time health indicators.
  • Own product delivery as technical product owner for internal data interfaces.
  • Enforce rigorous statistical standards with A/B testing and psychometrics.

Skills

Python
SQL
Data science
Statistical methods

Tools

Snowflake
BigQuery
dbt

Job description

Robinhood is building an elite Talent Management & Analytics team to bring predictive insights and AI into workforce systems. Staff Data Scientist will own the vision, design, and delivery of high-impact data products used by executives, people partners, and managers.

The role focuses on solving organizational problems, applying state-of-the-art language models, and ensuring predictive accuracy and data reliability across Robinhood’s workforce initiatives.

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