Senior Data Science Manager, Algorithms

Robinhood · Menlo Park, CAsenior

En corto

▸Líder de un equipo de ciencia de datos enfocado en cripto, impulsando estrategias de producto con datos.
▸Trabajas de cerca con producto, ingeniería y finanzas para escalar la plataforma de cripto en todo el mundo.
▸Se requiere experiencia directa en cripto (3-4 años) y liderazgo comprobado en equipos de datos.

Excellent written and verbal communication skills in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓7+ años en ciencia de datos, con al menos 2 años liderando equipos
✓Experiencia probada en rol de ciencia de datos para productos
✓Dominio de Python y SQL en entornos de producción
✓Experiencia directa en ecosistema cripto (3-4 años)
✓Habilidades de comunicación y presencia ejecutiva
✓Capacidad de influir en equipos multifuncionales y toma de decisiones estratégicas

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLProduction environmentsAnalyticsExperimentationData-driven decision makingCrypto ecosystemBlockchainInternational expansionProduct roadmap

¿A quién escribirle en Robinhood?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's 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. Expectations are high, and so are the rewards. 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. 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 5 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 you’ll 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 3–4 years of direct experience highly preferred • Executive presence, influence across teams, and outstanding communication skills Leadership expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: • Drive high performance by setting clear, focused goals, giving real-time feedback

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