Robinhood11 дней назад
Staff Data Scientist, ML (People Analytics & Insights)
Зарплата не указана
Chicago
Обязанности
- 01Spearhead the next phase of talent intelligence: Take the team beyond descriptive reporting and build the predictive frameworks that show not just what is happening in our workforce, but what will happen next
- 02Architect a unified workforce data model: Pipeline data across disparate recruiting systems, performance cycles, surveys, and internal tools into a single, cohesive data model that maps the entire employee lifecycle; use AI-native workflows aggressively to parse unstructured text like exit notes and survey feedback at scale
- 03Define the metrics dictionary and semantic layer: Standardize how metrics like headcount, attrition, and workforce trends are measured across the company; build the semantic layers that keep this data consistent and trustworthy at scale
- 04Drive data access control and governance: Build the frameworks for role-based access controls and data masking so HR, Finance, and line managers have exactly the access they need without risking sensitive personnel data
- 05Redesign employee sentiment architecture: Replace traditional annual survey cycles with a continuous, always-on listening framework that captures real-time organizational health and highlights leading risk indicators
- 06Own product delivery: Act as the technical product owner for internal data interfaces—collaborating directly with Enterprise Engineering to ensure exceptional user utility, predictive accuracy, and data reliability
- 07Enforce rigorous statistical standards: Apply experimental design, A/B testing, and psychometric methodologies to ensure our predictive workforce models and survey frameworks are scientifically backed and statistically valid
Требования
- 017+ years of data science experience
- 02Advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt
- 03Strong product focus and experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch
- 04Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions
- 05Direct experience integrating language models into data pipelines to automate text processing and summarization at scale
Условия
- 01Role is based in Menlo Park, CA, Chicago, IL, and New York, NY offices
- 02In-person attendance expected at least 3 days per week
- 03Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- 04100% paid health insurance for employees with 90% coverage for dependents
- 05Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
- 06Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- 07Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
- 08Exceptional office experience with catered meals, events, and comfortable workspaces
- 09Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000