Data Scientist, Product
Join us in building the future of finance. Our mission is to democratize finance for all.
What this role actually needs.
Join us in building the future of finance. Our mission is to democratize finance for all. 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. Benefits: - 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. Company context: Robinhood is the public financial-services company building investing, retirement, and crypto products in North America.
Day-to-day expectations
Robinhood lists these responsibilities for the Data Scientist, Product role.
- 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.
Why people would want this job
Robinhood published these compensation, benefits, or working-context details with the role.
- 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.
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Location read
On-site roles in New York City should be compared against commute, local salary bands, and nearby employer demand.
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Source: boards.greenhouse.io · Source ID: 7324983 · Confidence: 91/100 · Last checked: May 7, 2026
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