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обновлено 2 дня назад

Staff Data Scientist, ML (People Analytics & Insights)

217 000 - 255 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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