Data Science Analyst, Corporate Strategy

Data Science Analyst, Corporate Strategy

Join us in building the future of finance. 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 youre ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the worlds biggest financial problems. Were looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isnt a place for complacency, its where ambitious people do the best work of their careers. Were 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 Robinhoods 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 Robinhoodincluding 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 Robinhoods 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. Youll 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 hatsbringing 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 Youll Do

• Strengthen Robinhoods NPS programs by supporting the full stack of data science workfrom 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 Robinhoods 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

What We Offer

Base Pay Range

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$132,000$155,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$116,000$136,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$103,000$121,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + 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 base pay 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.

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 workwelcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

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