Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Menlo Park, CA
Open 3 months, first seen by us 90 days agoDesign and analyze experiments on new features, offers and campaigns
Analyze customer behavior to improve Gold targeting, retention and messaging
Work with Product, Marketing and Finance to prioritize initiatives and measure impact
Design and analyze experiments to test new features, offers, and campaign strategies.
Analyze customer behavior and identify new opportunities to grow Gold through improved targeting, retention, and messaging.
Collaborate with partners in Product, Marketing, and Finance to prioritize key initiatives and measure business impact clearly.
You have 5+ years of experience in data science, analytics, or a related field.
You have experience as a Product Data Scientist or in a similar role, partnering closely with product teams to directly shape product strategy and roadmap decisions.
You have strong proficiency in SQL and Python for data analysis and modeling.
You have experience designing experiments and interpreting results to guide product decisions.
Experience with data visualization tools and techniques.
From the employer’s posting.
Open 3 monthsWe first saw this posting 90 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 90
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- You have experience as a Product Data Scientist or in a similar role, partnering closely with product teams to directly shape product strategy and roadmap decisions. - You have strong proficiency in SQL and Python for data analysis and modeling. - You have experience designing experiments and interpreting results to guide product decisions.
Complete your application on boards.greenhouse.io. The employer’s form will show what is required.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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 Growth team's mission is to help Robinhood grow smarter, not just faster, by pairing data-driven insights with sharp execution. We help ensure every growth investment is measurable, efficient, and delivers lasting value. We work closely with partners in Product, Paid Media, and Lifecycle Marketing to improve how we acquire users, keep them engaged, and grow their value over time.
As a Senior Data Scientist, Product, you will help answer big, foundational questions to shape our premium subscription product, Robinhood Gold! In this high-impact role, you will help identify the right customers for Gold and determine which offers and incentives drive signups and retention. You will collaborate closely with partners across Product, Marketing, and Finance to prioritize key initiatives and measure business impact clearly. This position offers tremendous opportunity to influence product strategy and shape our long-term growth trajectory.
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.
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.
Base Pay Range:
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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.
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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Menlo Park, CA
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