Six Figure Work

Senior Data Scientist, Product

Robinhood

Company websiterobinhood.com (Robinhood, opens in new tab)

Base salary $179K  to $210K

Employer-published annual base salary, USD. Advertised base range in Menlo Park, CA +3 more

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  • LocationMenlo Park, CA +3 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since
All places named
  • Menlo Park, CA
  • New York, NY
  • Bellevue, WA
  • Washington, DC

About this job

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.

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 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. 

What you’ll do

  • Support the Growth org, focusing on Gold subscriptions.
  • 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.

What you bring

  • 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.
  • Ability to successfully implement projects and compete in a fast-paced environment.
  • Bonus points if you have experience with subscription, recurring-revenue, or membership business models.

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.

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:

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

$179,000—$210,000 USD

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

$157,000—$185,000 USD

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

$139,000—$164,000 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.

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.

Source: Robinhood on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($179,000) is above 42% of the 1,731 Data & ML roles in California listed on this site; 2 others list the same floor. Their median floor is $184,000; the middle half runs from $154,300 to $224,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Robinhood roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Robinhood roles with the nearest advertised base floor
RolePublished base
Senior Data Scientist, Product (this listing)$179K - $210K
Senior PM, International Trading$183K - $215K
Senior Manager, Valuation$174K - $205K
Crypto Onchain Attorney$187K - $220K
Senior Security Engineer, Detection & Response$187K - $220K
Senior Offensive Security Engineer$187K - $220K
Senior Counsel, Corporate & M&A$187K - $220K

Same $100K to $400K scale as every card. All Robinhood roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-08-05
Where this pay comes from

Location as the employer wrote it: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

USD 179,000 – 210,000 · interval unstated · pay_input_range · Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) · base-labelled (R1: Base Pay)

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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