data
Posted 6 days agoStaff Data Scientist, ML (People Analytics & Insights)
at Robinhood
Chicago, United StatesOn-site
Responsibilities
- Spearhead 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.
- Architect 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.
- Define 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.
- Drive 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.
- Redesign 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.
- Own 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.
- Enforce 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. What you bring
Requirements
- The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems.
- experience with modern data infrastructure like Snowflake, BigQuery, or dbt.
- experience defining user requirements, collaborating with engineers, and taking internal data tools from conception to launch.
- Deep understanding of statistics, experimental design, and psychometrics or survey methodology to design research-backed questions. Direct
- experience with catered meals, events, and comfortable workspaces.
Experience
- 7+ years of data science experience, with advanced skills in Python, SQL, and direct
Benefits
- An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
- As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day.
- Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching. Best-in-class
- benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
- Lifestyle wallet — a highly flexible
- benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! Exceptional office
- In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
- Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.
- The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.
- For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range:
- Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $217,000 — $255,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $191,000 — $224,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $170,000 — $199,000 USD
Additional details
- If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
- We are building an elite team, applying frontier technologies to the world’s biggest financial problems.
- Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.
- We’re a high-performing, fast-moving team with ethics at the center of everything we do.
- Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions.
- Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs.
- Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood.
- This is a unique opportunity to apply state-of-the-art language models and predictive analytics to solve critical talent problems!
- This role is based in our Menlo Park, CA, Chicago, IL, and New York, NY offices, with in-person attendance expected at least 3 days per week.
- At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office