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Senior Data Science Manager, Algorithms

Robinhood · Menlo Park · Not stated · Finance / Fintech
Verified live

Visa & eligibility

Accepts F-1 students
not published
Supports CPT
not published
Supports OPT
not published
Supports STEM OPT
not published
E-Verify employer
not published
Sponsorship stance
Unknown / not mentioned

The job

Location
Menlo Park, CA
Work setting
Unclear
Hours per week
not published
Schedule
not published
Experience required
n, 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
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n, 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
New graduates accepted
not published

Skills mentioned

pythonsql

Compensation & benefits

Pay range
not published
Relocation assistance
not published
Health insurance
Mentioned
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mpensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not

Benefits mentioned in the posting

401(k)health insurancepaid time offparental leavewellness

Applying

Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 23, 2026, 3:08 a.m.
Applies directly to employer
Yes

Apply on the employer's site →

Employer

Company
Robinhood
Industry
Finance / Fintech
Company size
not published
Contact
not published
Contact email
not published
Source
Robinhood

Full description

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, 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 Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more 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. 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: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $247,000 — $290,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $217,000 — $255,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $193,000 — $226,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Eligibility signals are matched from the employer's own wording and shown with the source text so you can check them. A blank field means the posting did not say — not that the answer is no. This is informational only and is not immigration advice. Confirm your work authorization with your DSO before accepting any role.