Data Science Intern (Summer 2027)

Robinhood • Menlo Park, CA

7h • Hybrid

About The Position

Robinhood is seeking a dedicated and ambitious graduate student for a Data Scientist Intern role on the Brokerage Data Science team. This high-impact, multi-functional group works closely with partners across product, engineering, user research, design, marketing, finance, and operations to unlock the power of data and shape the future of their brokerage business. The intern will help accelerate product growth through experimentation, analysis, and data-informed strategy, directly influencing the roadmap, uncovering new opportunities, and improving the trading experience for millions of users. This role is based in their Menlo Park office(s), with in-person attendance expected at least 3 days per week. Robinhood believes in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Requirements

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

Nice To Haves

• Previous experience working in financial technology is preferred.

Responsibilities

• 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 drive improvements in core business metrics.
• Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes.
• Gain expertise in predictive modeling, uplift modeling, causal inference, and experimentation design.
• 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.

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 hourly 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) $44—$44 USD
• Click here to learn more about our Total Rewards, which vary by region and entity.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern