Data Scientist, Robinhood
Product
$179-210k
+ Equity & Bonus programs
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
$179-210k
+ Equity & Bonus programs
3+ days a week in office
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- Proven expertise in data science, with a strong background in statistical analysis and machine learning
- Outstanding problem-solving skills and the ability to think critically and creatively
- Strong programming skills in Python & SQL, or other relevant languages
- Experience with data visualization tools and techniques
- Ability to successfully implement projects and compete in a fast-paced environment
- PhD or master’s degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and at least 6-10 years of experience developing and deploying predictive models
What the job involves
- Brokerage products are the bread and butter of Robinhood. The Brokerage team is fast-paced, dynamic, and deeply collaborative, driving innovation across our suite of brokerage products
- As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design, marketing, finance, and operations
- Together, you’ll unlock the power of data to shape the future of our brokerage business and deliver outstanding value to our customers
- We’re looking for a dedicated and ambitious data science leader to help us accelerate product growth through world-class experimentation, analysis, and data-informed strategy
- Your work will directly influence the roadmap, uncover new opportunities, and improve the trading experience for millions of users
- Perform deep-dive analyses to identify product growth opportunities and drive improvements in core business metrics
- Design, plan, implement, and analyze A/B experiments, and conduct causal inference analysis to evaluate product changes
- Define and maintain key product performance metrics; build scalable dashboards to monitor these metrics and advise decision-making
- Build compelling data visualizations and narratives to effectively communicate insights and recommendations to multi-functional partners, collaborators, and senior leadership
- Lead and implement large-scale analytics projects to uncover user insights, inform product strategy, and deliver measurable business impact
- Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes
- Assist with established methods, standard approaches, and promote a data-informed culture within the organization
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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