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 youâre ready to be at the epicenter of this historic cultural and financial shift, keep reading.
<h2><span >We are building an elite team, applying frontier technologies to the worldâs biggest financial problems. Weâre looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isnât a place for complacency, itâs where ambitious people do the best work of their careers. Weâre a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhoodâs crypto product roadmap and growth. This role partners cross-functionally with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions. Learn more about what the crypto team is up to here.
This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 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 youâll do
- Lead, mentor, and scale a team of data scientists and analytics engineers working across product and ML domains
- Partner closely with Crypto product, engineering, finance, and research teams to drive key initiatives such as international expansion, pro trader growth, and Wallet app adoption
- Deliver robust, data-driven recommendations and analyses to shape product direction, with a focus on stock tokens, perpetuals, and blockchain opportunities
- Foster a culture of excellence in analytics, experimentation, and impact within your team
- Represent Crypto Data Science in cross-functional leadership forums and contribute to overall Crypto org strategy
What you bring
- 7+ years of experience in data science, including at least 2+ years of people management
- Deep experience with Python and SQL in a production or analytics environment
- Proven success in product data science roles, with a track record of delivering strategic insights and scalable solutions
- Strong understanding of the crypto ecosystem, with 3â4 years of direct experience highly preferred
- Executive presence, cross-functional influence, and outstanding communication skills
Leadership expectations
Our ambitious roadmap requires a great culture shaped by exceptional leaders. Hereâs what we expect from them:
- Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
- Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
- Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.
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.
- Life>
- 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.
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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: