robinhood
Senior Data Scientist, Product
At a Glance
- Location
- United States
- Experience
- 6–10 years
- Posted
- 2026-02-11T12:26:41-05:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
Benefits & Perks
including 100% paid health insurance for employees with 90% coverage for dep
Requirements
Proven expertise in data science, with a strong background in statistical analysis and machine learning.
Experience with data visualization tools and techniques.
PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models.
Compensation & Benefits
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!
Responsibilities
Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making.
Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership.
Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes.
Team
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.
Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products.
As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations. Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers.
We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy. Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users.