Роль четко определена с акцентом на предсказательную аналитику в модном финтех-домене, а зарплата соответствует рыночным ожиданиям, что делает эту вакансию привлекательной.
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Высокая зарплатаТрендовый доменЧетко определенная рольГибридный формат
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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