Robinhood aims to democratize finance for all, particularly in the context of the $124 trillion wealth transfer to younger generations. The Data Science Manager for the Crypto team is expected to lead efforts in shaping the crypto product roadmap and growth through data-driven insights and strategies.
Requirements
- 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 3–4 years of direct experience highly preferred
Responsibilities
- 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
Other
- This role is based in our Menlo Park, CA office, with in-person attendance expected at least 4 days per week
- Executive presence, cross-functional influence, and outstanding communication skills
- 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
