Senior Data Science Manager, Algorithms (Crypto)

Location: Menlo Park, California office; in-person attendance is expected at least 5 days per week.

Base pay: $247,000–$290,000 USD in Zone 1; $217,000–$255,000 USD in Zone 2; $193,000–$226,000 USD in Zone 3. Additional bonus opportunities, equity, and benefits are included.

Company

Robinhood is a fintech company building products intended to democratize finance, including a growing crypto platform.

What you will do

• Lead, mentor, and scale data scientists and analytics engineers across product and machine learning domains.
• Partner with crypto product, engineering, finance, and research teams on international expansion, pro trader growth, and Wallet app adoption.
• Deliver data-driven recommendations and analyses that shape product direction.
• Analyze opportunities involving stock tokens, perpetuals, and blockchain products.
• Represent Crypto Data Science in leadership forums and contribute to crypto organization strategy.
• Build a culture of excellence in analytics, experimentation, impact, and high performance.

Requirements

• 7+ years of data science experience, 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, delivering strategic insights and scalable solutions.
• Strong understanding of the crypto ecosystem; 3–4 years of direct experience is highly preferred.
• Executive presence, cross-functional influence, and outstanding communication skills.
• Ability to work in person from the Menlo Park office at least 5 days per week.

Nice to have

• 3–4 years of direct crypto industry experience.

Culture & Benefits

• High-impact, performance-driven work with bonus programs and equity ownership.
• 401(k) matching and comprehensive health, life, disability, fertility, and mental health benefits.
• Paid holidays, paid time off, sick time, and parental leave.
• Access to AI tools and continuous AI skill-building.
• Flexible lifestyle wallet for wellness, learning, and related expenses.
• Catered meals, events, and supported office workspaces.