Staff Data Scientist, ML (People Analytics & Insights)

Robinhood; Bellevue (WA); Hybrid; USD 217,000 - 255,000; Full time

Benefits offered by this job

Health insurance

Equity

401(k) matching

Paid time off

Job summary

Robinhood is hiring a Staff Data Scientist, ML for People Analytics & Insights in a hybrid setup across its Bellevue, WA; Menlo Park, CA; Chicago, IL; and New York offices. You will own the vision, design, and delivery of high-impact data products used by executives and teams to optimize talent decisions.

You will apply state-of-the-art language models and predictive analytics to solve meaningful organizational problems, with in-person collaboration expected at least 3 days per week.

Qualifications

• 7+ years of data science experience with advanced technical skills in Python and SQL.
• Experience with modern data infrastructure (Snowflake, BigQuery, or dbt).
• Strong product focus: define user requirements, collaborate with engineers, launch internal data tools.
• Knowledge of statistics, experimental design, and psychometrics or survey methodology.

Responsibilities

• Lead the design and delivery of high-impact data products for executives, people partners, and managers.
• Architect a unified workforce data model spanning recruiting, performance, surveys, and internal tools; leverage AI-native workflows.
• Define metrics dictionary and semantic layer to standardize headcount, attrition, and trends.
• Drive data access control and governance with role-based controls and data masking.
• Redesign employee sentiment architecture with continuous listening to monitor organizational health.
• Own internal data interfaces as technical product owner, ensuring predictive accuracy and reliability.
• Apply experiments, A/B testing, and psychometrics to validate models and survey frameworks.

Skills

Python

SQL

Snowflake

BigQuery

dbt

Job description

Staff Data Scientist, ML (People Analytics & Insights)

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. 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. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. 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. Expectations are high, and so are the rewards.

The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. 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.

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. 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 experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• 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

• 7+ years of data science experience, with advanced skills in Python, SQL, and direct experience with modern data infrastructure like Snowflake, BigQuery, or dbt.
• Strong product focus and 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 integrating language models into data pipelines to automate text processing and summarization at scale.

What we offer

• Challenging, high-impact work to grow your career.
• 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 experience with catered meals, events, and comfortable workspaces.

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

Equal Employment Opportunity Information

At Robinhood, we care deeply about diverse representation in our workforce as it supports our mission to democratize finance for all. In support of this goal, we encourage applicants to voluntarily identify demographic information. This information helps us to continue building a more inclusive workplace and to ensure effective recruiting programs that are inclusive of individuals across all backgrounds.

Self-identifying in this section is completely voluntary and if you choose not to provide any information, please select the “I don't wish to answer” option under that question. Whatever your decision, data that you provide in this section will not be considered in the hiring process or thereafter. Individuals seeking employment at Robinhood are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, marital status, ancestry, physical or mental disability, neurodivergence, veteran status, gender identity or expression, or any other characteristic protected by law.

You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity recordkeeping, reporting, and other legal requirements, and to be used in our efforts to recruit a diverse workforce. Any information that you do provide will be recorded and maintained in a confidential manner. For more information on EEOC definitions, please reference this document .