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 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.
The Experimentation Platform team at Robinhood builds the systems and infrastructure that power our company-wide experimentation efforts. Our mission is to enable rapid, trustworthy, and statistically sound experimentation at scale, so teams can learn quickly and make confident decisions. We partner closely with engineering, product, and data teams across the company. The team's work has a direct impact on product velocity and business outcomes. Together, we're driving a culture of data-informed innovation across Robinhood.
As a Senior Data Scientist on the Experimentation Platform team, you'll play a key role in shaping the statistical foundations of our experimentation systems. You'll collaborate closely with engineering, product, and data partners to advance best practices in A/B testing, improve experiment velocity, and build capabilities that help Robinhood scale experimentation effectively. You'll also explore how AI-powered capabilities can automate workflows and strengthen decision-making, while serving as a trusted statistical partner to data science and product teams.
This is a high-impact role with the opportunity to define how we learn and iterate across our products!
This role is based in our Menlo Park, CA office, 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.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
$187,000—$220,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$165,000—$194,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$146,000—$172,000 USD
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.
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 work—welcoming 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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Source: the Robinhood Greenhouse job board. We last checked this job 5 h ago. We first saw it 5 h ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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This base pay is below the median for senior data science jobs in the Bay Area.
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