Senior Data Scientist - Product

About the team + role

We’re looking for  dedicated and ambitious data science leaders 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. As a Data Scientist  you'll be part of a high-impact, cross-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 Robinhood products and deliver exceptional value to our customers.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

• Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics.
• Design, plan, execute, 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 inform decision-making.
• Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-functional partners, stakeholders, and senior leadership.
• Lead and execute large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact.
• Partner closely with Product, Engineering, Operations, and other cross-functional teams to integrate data-driven decision-making into product and business processes.
• Mentor other data scientists, contribute to best practices, and help foster a data-informed culture across the organization.

What you bring

• Proven expertise in data science, with a strong background in statistical analysis and machine learning.
• Outstanding problem-solving skills and the ability to think critically and creatively.
• Strong programming skills in Python & SQL, or other relevant languages.
• Experience with data visualization tools and techniques.
• Ability to successfully implement projects and compete in a fast-paced environment.
• PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 5-10 years of experience developing and deploying predictive models.

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits