Data Science Intern

Who you are

• 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

What the job involves

• 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