R
Robinhood
Senior Data Science Manager (Algorithms)
Skills
BlockchainSQL QueriesPythonData ScienceData AnalysisMachine Learning
2 months ago
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Important information
Contract type:
Permanent
Salary:
$247,000 – $290,000 / year
Location:
Menlo Park, CA, USA
Work mode:
Onsite
Published on:
23 August 2026
What they need
- The Crypto Data Science team is on a mission to accelerate Robinhood’s position as the leading platform for crypto investors
- We partner with product, engineering, finance, and research to shape the strategies behind our fastest-growing business
- From launching new products to expanding internationally, our team turns complex data into clear decisions — and our work directly influences how millions of customers experience crypto at Robinhood
- As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering insights, models, and strategies that shape Robinhood’s crypto product roadmap and growth
- This role partners with product, engineering, and executive leadership to ensure data is at the core of our strategic decisions
- 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- 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
- 7+ years of experience in data science, including at least 2+ years of people management
- Strong understanding of the crypto ecosystem, with 3–4 years of direct experience highly preferred
- Executive presence, influence across teams, and outstanding communication skills
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