Senior Data Scientist, Product (Crypto)
About The Position
Robinhood is building the future of finance with a mission to democratize finance for all. The Crypto team is focused on building 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 on the Crypto team, 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 will 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. 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. Robinhood believes in the power of in-person work to accelerate progress, spark innovation, and strengthen community.
Requirements
- 5+ years of experience in data science, analytics, or a related field
- Strong proficiency in SQL and Python for data analysis and modeling
- Experience designing experiments and interpreting results to guide product decisions
- Domain knowledge in crypto, including onchain data and DeFi ecosystems
- Communicate clearly with both technical and non-technical partners
Responsibilities
- 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
Benefits
- Performance-driven compensation with multipliers for outsized impact
- Bonus programs
- Equity ownership
- 401(k) matching
- 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
- Mental health benefits
- Company holidays
- Paid time off
- Sick time
- Parental leave
- Catered meals
- Events
- Comfortable workspaces
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
