Home › Companies › Robinhood › Senior Data Scientist, Product (Crypto)
Senior Data Scientist, Product (Crypto)
Robinhood · Menlo Park, CA; New York, NY · Deleted · $179,000–$210,000 / year · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Robinhood |
| Title | Senior Data Scientist, Product (Crypto) |
| Normalized title | - |
| Department / team | ENG Data Science |
| Location | Menlo Park, CA, United States |
| Work model | - |
| Employment type | - |
| Salary | $179,000–$210,000 / year |
| Status | deleted |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-05-29 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-04 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Robinhood. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Menlo Park. | Open |
| Department jobs | Active postings in ENG Data Science. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Robinhood |
| Source | 679ace75-f1ef-4a62-a773-10d74c2a4f93 |
| ATS provider | Greenhouse |
Description
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 Crypto team’s mission is to build the next global financial ecosystem using blockchain technology, enabling scalable and accessible onchain financial products. This team plays a central role in advancing Robinhood’s focus on crypto and international expansion by developing products that expand access to decentralized finance.
As a Senior Data Scientist, you will lead analytical efforts supporting the launch and growth of Robinhood’s crypto platform, helping bring onchain and digital financial solutions to a global audience. You’ll be at the forefront of shaping Robinhood’s crypto strategy using data, partnering closely with product, engineering, and finance to launch and optimize features across trading, international expansion, and wallet experiences. Your work will guide product decisions through well-designed experiments and robust analysis, helping millions of customers engage more deeply with the crypto ecosystem. Learn more about what the crypto team is up to here .
This role is based in our Menlo Park, CA and New York, NY office(s), 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
Partner with product managers to identify opportunities across Robinhood's crypto platform, including trading, perpetuals, and tokenized assets
Design and evaluate experiments to inform product decisions, using clear success metrics tied to business outcomes
Analyze platform and market data to build datasets that power product insight
Develop models to assess product performance, user behavior, and market dynamics
Communicate findings to stakeholders including engineering, finance, and design teams to support product development
What you bring
You have 5+ years of experience in data science, analytics, or a related field
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
You have domain knowledge in crypto, including onchain data and DeFi ecosystems
You communicate clearly with both technical and non-technical partners
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.
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.
Full job record
| Job ID | d0b9ba53e742cfd8d42753bf439c786de714bb37 |
| Org ID | 44ae58e2-a385-4341-9054-3fe5db53e071 |
| Source ID | 679ace75-f1ef-4a62-a773-10d74c2a4f93 |
| Board ID | 679ace75-f1ef-4a62-a773-10d74c2a4f93 |
| Provider | greenhouse |
| Provider Job Key | 7965000 |
| Title | Senior Data Scientist, Product (Crypto) |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Menlo Park, CA; New York, NY |
| Department | ENG Data Science |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Menlo Park |
| Salary Raw | 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 &m |
| Salary Min | 179,000 |
| Salary Max | 210,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://boards.greenhouse.io/robinhood/jobs/7965000?t=gh_src=&gh_jid=7965000 |
| Apply URL | https://boards.greenhouse.io/robinhood/jobs/7965000?t=gh_src=&gh_jid=7965000 |
| First Seen At | 2026-05-29 22:41:13Z |
| Last Seen At | 2026-06-04 10:42:24Z |
| Last Checked At | 2026-06-06 20:33:58Z |
| Last Changed At | 2026-06-06 20:33:58Z |
| Inactive At | 2026-06-06 20:33:58Z |
| Source Posted At | 2026-05-29 02:03:19Z |
| Source Updated At | 2026-05-29 21:24:13Z |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=robinhood/date=2026-06-04/2026-06-04T10-42-24-279Z-80be08d3a959197ca181aac628661c887581dbde0070ef202a7607e5925d7b05.json |
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