About this role
Partnering directly with a current team member, the Data Science Intern will focus on a specific product line such as Agentic Trading, Prediction Markets, or Robinhood Social, performing deep-dive analyses to uncover growth opportunities and improve core business metrics. Daily tasks involve designing and analyzing A/B experiments, conducting causal inference analyses, building scalable dashboards, and communicating insights through compelling data visualizations to senior leadership and multi-functional partners.
Robinhood operates a fast-moving, high-impact Brokerage Data Science team that builds frontier technologies to tackle major financial problems. This role exists to accelerate product growth through rigorous experimentation, analysis, and data-informed strategy within a dynamic, collaborative environment. Candidates who thrive here are bold problem-solvers currently enrolled in a graduate program who want to influence product roadmaps and shape the future of finance during a historic wealth transfer.
What you will do
- Partner directly with a team member on a specific product line to perform deep-dive analyses and identify product growth opportunities.
- Design, plan, implement, and analyze A/B experiments while conducting causal inference analysis to evaluate product changes.
- Define and maintain key product performance metrics by building scalable dashboards to monitor performance and guide decision-making.
- Create compelling data visualizations and narratives to communicate insights and strategic recommendations to multi-functional partners and senior leadership.
- Lead and implement large-scale analytics projects that uncover user insights and deliver measurable business impact.
- Collaborate closely with product, engineering, and operations teams to integrate data-driven decision-making into business processes.
What you need
- 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 a natural science.
- Demonstrated expertise in data science supported by a strong background in statistical analysis and machine learning.
- Strong programming skills in Python and SQL, or other relevant languages.
- Familiarity with data visualization tools and techniques alongside the ability to succeed in a fast-paced environment.
Nice to have
- Previous experience working in financial technology
Skills and tech stack
Questions candidates ask
What is the remote work policy for this internship?
This role is based in the Menlo Park office, 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.
What is the expected pay rate for the role?
The expected hourly rate for this position in Menlo Park, CA is $44 USD. Base pay depends on job-related factors including education, training, experience, location, business needs, or market demands.
What qualifications are needed to apply?
Applicants must be currently enrolled in a full-time graduate degree program in a quantitative field like mathematics, statistics, engineering, or natural science, with an expected graduation in Winter 2027 or Spring 2028. Candidates also need strong programming skills in Python and SQL, plus a background in statistical analysis and machine learning.
What will I actually work on during the internship?
Interns partner directly with a current team member on a specific product line such as Agentic Trading, Prediction Markets, Portfolio Margin, or Robinhood Social. Responsibilities include performing deep-dive analyses, designing A/B experiments, building scalable dashboards, and leading large-scale analytics projects.