About this opportunity
Unchain Data lists this Staff Data Scientist, Product (Crypto) opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About Us
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. We are building an elite team, applying frontier technologies to the world's biggest financial problems. Robinhood is 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.
About the Role
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 Staff Data Scientist, you will lead analytical efforts supporting the launch and growth of Robinhood Mainnet, helping bring onchain 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, finance, and research to launch and optimize features such as perpetuals, international trading, 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. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.
Responsibilities
Partner with product managers to identify opportunities within onchain finance, including DeFi, perpetuals, and tokenized equities
Design and evaluate experiments to inform product decisions, using clear success metrics tied to business outcomes
Analyze onchain data and build datasets to support smart contract indexing and product insights
Develop models to assess DeFi protocols, lending mechanisms, and market behavior
Communicate findings to stakeholders including engineering, finance, and design teams to support product development
Requirements
7+ 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
Ability to communicate clearly with both technical and non-technical partners
Compensation
In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and 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.
Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $202,000 — $238,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $178,000 — $209,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $158,000 — $186,000 USD
Benefits
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 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 and 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
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Worksite address
california, MO, 65018, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.