Staff Data Scientist, ML — People Analytics

Robinhood; Bellevue (WA); Hybrid; USD 217,000 - 255,000; Full time

Benefits offered by this job

Health insurance

Equity

401(k) matching

Paid time off

Job summary

Robinhood is hiring a Staff Data Scientist, ML for People Analytics & Insights in a hybrid setup across its Bellevue, WA; Menlo Park, CA; Chicago, IL; and New York offices. You will own the vision, design, and delivery of high-impact data products used by executives and teams to optimize talent decisions.

You will apply state-of-the-art language models and predictive analytics to solve meaningful organizational problems, with in-person collaboration expected at least 3 days per week.

Qualifications

• 7+ years of data science experience with advanced technical skills in Python and SQL.
• Experience with modern data infrastructure (Snowflake, BigQuery, or dbt).
• Strong product focus: define user requirements, collaborate with engineers, launch internal data tools.
• Knowledge of statistics, experimental design, and psychometrics or survey methodology.

Responsibilities

• Lead the design and delivery of high-impact data products for executives, people partners, and managers.
• Architect a unified workforce data model spanning recruiting, performance, surveys, and internal tools; leverage AI-native workflows.
• Define metrics dictionary and semantic layer to standardize headcount, attrition, and trends.
• Drive data access control and governance with role-based controls and data masking.
• Redesign employee sentiment architecture with continuous listening to monitor organizational health.
• Own internal data interfaces as technical product owner, ensuring predictive accuracy and reliability.
• Apply experiments, A/B testing, and psychometrics to validate models and survey frameworks.

Skills

Python

SQL

Snowflake

BigQuery

dbt

Job description

Robinhood is hiring a Staff Data Scientist, ML for People Analytics & Insights in a hybrid setup across its Bellevue, WA; Menlo Park, CA; Chicago, IL; and New York offices. You will own the vision, design, and delivery of high-impact data products used by executives and teams to optimize talent decisions.

You will apply state-of-the-art language models and predictive analytics to solve meaningful organizational problems, with in-person collaboration expected at least 3 days per week.