Senior Data Scientist, Robinhood
ML, Brokerage
$187-220k
+ Bonus Program + Equity
3 days a week in office
Commission-free stock trading & investing app
Be an early applicant
Commission-free stock trading & investing app
1001+ employees
Be an early applicant
$187-220k
+ Bonus Program + Equity
3 days a week in office
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact
- You have 5+ years of experience building recommendation systems in customer-facing products (e.g., streaming, marketplace, or on-demand platforms)
- You are proficient in Python and SQL and have strong experience with machine learning systems and production modeling
- You have experience with experimentation methods and causal inference to evaluate model performance
- You communicate clearly and collaborate effectively with product, engineering, and data science partners
- You demonstrate ownership by driving projects from concept through implementation
What the job involves
- We are building an elite team, applying frontier technologies to the world’s biggest financial problems
- 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 Brokerage Data Science team uses data to inform automated modeling decisions and generate insights that guide product and business strategy
- The team works closely with product, engineering, and operations partners to improve how customers engage with Robinhood’s platform
- You’ll contribute to shaping personalized product experiences that support customers throughout their investing journey!
- As a Senior Data Scientist, ML, you will lead the development of recommendation systems for prediction markets, one of Robinhood’s fastest-growing areas
- You will work closely with product managers and engineers to identify opportunities for personalization, design modeling approaches, and implement solutions that improve customer engagement
- This role starts with building personalization for prediction markets and will expand to additional product surfaces as the strategy evolves
- This role is based in our Menlo Park, CA and New York, NY office(s), with in-person attendance expected at least 3 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
- Build and improve recommendation system algorithms to personalize customer experiences across prediction markets and other product surfaces
- Partner with product managers to identify areas for personalization and define measurable success criteria
- Develop features and models that improve relevance and user interaction with our prediction markets offerings
- Collaborate with software and machine learning engineers to design and implement scalable feature pipelines and the ranking systems
- Design and run experiments to evaluate model performance and measure incremental impact on customer engagement
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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