Data Science Analyst, Corporate Strategy

About the team + role

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.

The Customer Intelligence and AI (CIAI) team is a specialized Data Science group within Robinhood’s Corporate Strategy organization. Our mission is to unlock deeper insights into customer behaviors, satisfaction, and market performance through Net Promoter Score (NPS), benchmarking, and advanced analytics. We apply data science, machine learning, and AI to improve customer experiences, drive operational efficiency, and inform company-wide strategy.

We partner with teams across Robinhood—including Product, Data, Engineering, Marketing, Finance, and Research. Our work powers strategic decision-making, enhances operational performance, and integrates into data science and AI pipelines across the company.

As a Data Scientist, Analytics on the CIAI team, you will strengthen and expand Robinhood’s NPS and benchmarking capabilities. This includes designing and improving measurement frameworks, conducting deep-dive analyses, and shaping how Robinhood tracks and improves customer experience relative to competitors. You’ll contribute to both recurring programs and new technical projects that advance our ability to measure company performance and improve decision-making efficiently.

The ideal candidate is able to wear both technical and strategic hats—bringing strong analytical and programming skills, paired with curiosity and business acumen. You should feel comfortable moving between deep technical work (statistics, modeling, programming) and business impact (generating insights, influencing decisions, driving change).

This role is based in our Menlo Park, CA, New York, NY or Chicago, IL offices, 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

• Strengthen Robinhood’s NPS programs by supporting the full stack of data science work—from data pipelines and analytics to dashboarding, reporting, and deep-dive analysis.
• Drive innovation in the NPS space, including experimentation with AI- and LLM-based approaches to customer intelligence and feedback analysis.
• Build and maintain scalable data processes to collect, manage, and synthesize information from a wide range of internal and external sources.
• Support competitive benchmarking efforts, providing technical expertise for competitive intelligence and contextualizing Robinhood’s performance relative to peers.
• Advocate for customers by helping establish best practices in how we measure, interpret, and act on customer feedback.

What you bring

• 2-5 years of experience in an analytics or data science role, ideally blending quantitative analysis with business impact (e.g., roles in technology, financial services, consulting, or research).
• Degree or equivalent experience in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Proficiency in SQL and Python, with hands-on experience in data wrangling, visualization, and analysis.
• Familiarity with statistical modeling techniques; exposure to text analytics, natural language processing, or AI/LLM applications is a plus.
• Proven ability to translate complex data into clear, actionable insights that influence business decisions.
• Excellent attention to detail and ability to manage priorities and deadlines across multiple projects.
• Ownership mentality and self-starter attitude, with creativity and resourcefulness to solve ambiguous problems and drive outcomes.
• Excellent communication skills, with the ability to engage audiences across technical and non-technical teams and influence decision-making at multiple levels.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.