Staff Data Scientist, ML (People Analytics & Insights)

Robinhood
Menlo Park, Chicago, New York
Workplace: OnsiteFull timeUSD 170,000 - 255,000 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsSkills: ["Problem-solving","Product focus","Collaboration","Scientific rigor"]

Own the vision and delivery of high-impact people analytics products that help leaders recruit, structure teams, and improve retention. Build predictive workforce frameworks and a unified workforce data model by integrating recruiting, performance, and survey data, including AI-native processing of unstructured text. Define metrics and semantic layers, establish governance with access controls and masking, and implement continuous sentiment listening using rigorous experimentation and psychometrics.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Robinhood
Robinhood
1 month ago

Staff Data Scientist, ML (People Analytics & Insights)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Own the vision and delivery of high-impact people analytics products that help leaders recruit, structure teams, and improve retention. Build predictive workforce frameworks and a unified workforce data model by integrating recruiting, performance, and survey data, including AI-native processing of unstructured text. Define metrics and semantic layers, establish governance with access controls and masking, and implement continuous sentiment listening using rigorous experimentation and psychometrics.
Location: Menlo Park, Chicago, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build predictive talent intelligence frameworks to forecast workforce outcomes and inform retention strategies.
  • •Architect a unified workforce data model integrating recruiting systems, performance cycles, surveys, and internal tools, including AI-native parsing of unstructured text.
  • •Define a metrics dictionary and semantic layer to standardize headcount, attrition, and workforce trend measurement across the company.
  • •Create data governance frameworks with role-based access controls and data masking to protect sensitive personnel data.
  • •Act as technical product owner for internal data interfaces, collaborating with Enterprise Engineering to ensure predictive accuracy and reliable, usable data products.

Pay and Benefits

Salary: USD 170,000 - 255,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401k

Key Requirements

  • •7+ years of data science experience with advanced Python and SQL skills.
  • •Experience with modern data infrastructure such as Snowflake, BigQuery, or dbt.
  • •Strong product focus, including defining user requirements and partnering to launch internal data tools.
  • •Deep understanding of statistics, experimental design, and psychometrics or survey methodology.
  • •Experience integrating language models into data pipelines for large-scale text processing and summarization.
Experience:7+ yearsData scienceMachine learningPeople analytics
Skills:Problem-solvingProduct focusCollaborationScientific rigor
Languages:English
Tech Stack:PythonSQLSnowflakeBigQueryDbtA/B testingLanguage modelsData pipelines

Company Brief

Robinhood
Commission-free trading platform offering stocks, ETFs, options, and cryptocurrencies, plus cash management and retirement products. Aims to democratize finance through easy-to-use mobile and web apps for retail investors.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Menlo Park, United States
Founded: 2013
WebsiteLinkedIn