Senior Data Scientist, Product

About Us

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. 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, and builders who are wired to make an impact. Robinhood is 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.

The Role

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.

This role is based in our Menlo Park office, 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.

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.
• Assist with established methods, standard approaches, and promote a data-informed culture within the organization.

Requirements

• 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.
• 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 and SQL, or other relevant languages.
• Experience with data visualization tools and techniques.
• Ability to successfully implement projects and compete in a fast-paced environment.

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 and 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

Compensation

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and 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.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $179,000 — $210,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $157,000 — $185,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $139,000 — $164,000 USD