Data Science Intern (Summer 2027)
Robinhood · Menlo Park, CA
About this role
**Join us in building the future of finance.** Our mission is to democratize finance for all. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. --- ## About the team + role We’re 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. The Brokerage team is fast-paced, dynamic, and deeply collaborative—driving innovation across Robinhood’s brokerage products. As a **Data Scientist Intern (Summer 2027)** on the Brokerage Data Science team, you’ll work with partners across **Product, Engineering, User Research, Design, Marketing, Finance, and Operations** to unlock the power of data and shape the future of our brokerage business. This role is **based in our Menlo Park office(s)**, with **in-person attendance expected at least 3 days per week**. --- ## What you’ll do - Partner directly with a current team member on a specific product line (e.g., Agentic Trading, Prediction Markets, Portfolio Margin, Trading Products, Trading Tools, Robinhood Social, Legend, etc.). - Perform deep-dive analyses to identify product growth opportunities and improve core business metrics. - Design, plan, implement, and analyze **A/B experiments**, and conduct **causal inference** analysis to evaluate product changes. - Build expertise in **predictive modeling, uplift modeling, causal inference, and experimentation design**. - Define and maintain key product performance metrics; build scalable dashboards to monitor metrics and inform decision-making. - Create compelling data visualizations and narratives to communicate insights and recommendations to multi-functional partners 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 teams to integrate data-driven decision-making into product and business processes. - Assist with established methods and promote a data-informed culture. --- ## What you bring - Currently enrolled in a full-time **graduate degree program** with an expected graduation date in **Winter 2027 or Spring 2028**. - Pursuing a graduate degree in a quantitative field such as **mathematics, statistics, engineering, or natural science**. - 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 in a fast-paced environment. - Previous experience working in **financial technology** is preferred. --- ## Compensation (hourly) - **US Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $24.65–$29 per hour** - **US Zone 2: $24.65–$29 per hour** - **US Zone 3: $23.80–$28 per hour** This role may also be eligible to participate in a **Robinhood bonus plan**. --- ## Next steps Click **[here](https://careers.robinhood.com/benefits)** to learn more about Total Rewards (varies by region and entity). **AI Usage Disclosure:** Robinhood uses AI tools to support parts of the recruiting process; however, all hiring decisions are made by hiring
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