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. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
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. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's 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. Expectations are high, and so are the rewards.
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 Data Scientist Intern on the Brokerage 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 graduate student 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(s), 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. Our office experience is intentional, energizing, and designed to fully support high-performing teams.
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 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.
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 & SQL, or other relevant languages.
- Experience with data visualization tools and techniques.
- Ability to successfully implement projects and compete in a fast-paced environment.
- Previous experience working in financial technology is preferred.
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. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Click here to learn more about our Total Rewards, which vary by region and entity.
If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.
AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.
Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Skills Required
- Currently enrolled in a full-time graduate degree program with expected graduation in Winter 2027 or Spring 2028
- Pursuing a graduate degree in a quantitative field such as mathematics, statistics, engineering, or natural science
- Expertise in data science with a strong background in statistical analysis and machine learning
- Strong programming skills in Python and SQL, or other relevant languages
- Experience with data visualization tools and techniques
- Strong problem-solving and critical-thinking skills
- Ability to successfully implement projects in a fast-paced environment
- Previous experience working in financial technology
Robinhood Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Robinhood and has not been reviewed or approved by Robinhood.
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Healthcare Strength — Healthcare is described as best-in-class, with strong medical, dental, and vision coverage, mental-health support, and life and disability insurance. Low premiums and solid dependent coverage are also noted, reinforcing the strength of core health benefits.
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Equity Value & Accessibility — Equity grants through RSUs and an ESPP are standard, and for many tech roles equity meaningfully lifts total compensation when the stock performs. Clear multi-year vesting schedules make ownership accessible as a core part of the pay mix.
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Parental & Family Support — Parental leave and fertility benefits are emphasized, with generous paid time for new parents cited as a standout. Family-oriented policies are consistently portrayed as a strong component of the package.
Robinhood Insights
What We Do
Robinhood Markets, Inc. (NASDAQ: HOOD) transformed financial services by introducing commission-free stock trading and democratizing access to the markets for millions of investors. Today, Robinhood, through its subsidiaries, lets you trade stocks, options, futures (which includes event contracts), and crypto, invest for retirement, earn with Robinhood Gold, and access an expert-managed portfolio with Robinhood Strategies. Headquartered in Menlo Park, California, Robinhood puts customers in the driver’s seat, delivering unprecedented value and products intentionally designed for a new generation of investors. Additional information about Robinhood can be found at www.robinhood.com.
Why Work With Us
At Robinhood, we are building an elite team, applying frontier technologies to the world’s biggest financial problems. Every role can make a real impact. We’re a team of builders, doers, and bold thinkers who thrive in a high-performance environment and take pride in raising the bar for ourselves and the millions of customers we serve.
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