обновлено 2 дня назад
Staff Data Scientist, ML (People Analytics & Insights)
217 000 - 255 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist, ML (People Analytics & Insights) (AI/People Analytics): Building predictive workforce data products, unified employee-lifecycle models, and always-on sentiment intelligence with an accent on language models, statistical rigor, and sensitive-data governance. Focus on designing predictive talent frameworks, integrating unstructured HR data at scale, and delivering reliable internal interfaces for organizational decision-making.
Location: Hybrid role based in the Menlo Park, CA; Chicago, IL; or New York, NY offices, with in-person attendance required at least 3 days per week.
Base pay: $217,000–$255,000 USD in Zone 1; $191,000–$224,000 USD in Zone 2; $170,000–$199,000 USD in Zone 3, plus bonus opportunities, equity, and benefits.
Company
Robinhood is a financial technology company working to democratize finance and build data-driven products for the future of finance.
What you will do
- Build predictive workforce frameworks that identify organizational trends, talent drivers, and retention risks.
- Develop a unified employee-lifecycle data model from recruiting, performance, survey, and internal systems.
- Use language models and AI-native workflows to process and summarize unstructured employee feedback at scale.
- Define company-wide metrics, semantic layers, access controls, and data-masking frameworks for sensitive personnel data.
- Design continuous employee-listening systems that surface real-time organizational health indicators.
- Own internal data-product delivery and apply experimental design, A/B testing, and psychometric methods to ensure statistical validity.
Requirements
- 7+ years of data science experience.
- Advanced Python and SQL skills, with experience using Snowflake, BigQuery, or dbt.
- Experience defining user requirements and taking internal data tools from conception to launch.
- Strong knowledge of statistics, experimental design, and psychometrics or survey methodology.
- Hands-on experience integrating language models into data pipelines for large-scale text processing and summarization.
- Ability to work from one of the specified U.S. offices with in-person attendance at least 3 days per week.
Culture & Benefits
- High-impact work focused on financial technology and organizational intelligence.
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
- Health insurance with 100% employee coverage and 90% dependent coverage.
- Flexible lifestyle wallet for wellness, learning, and other expenses.
- Paid time off, sick time, company holidays, parental leave, life and disability insurance, fertility benefits, and mental health benefits.
- Catered meals, office events, and supported workspaces.
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