Data Scientist, Robinhood
Product
$154-181k
+ Bonus opportunities and equity
3-5 days a week in office (Menlo Park, CA)
Commission-free stock trading platform
Be an early applicant
Commission-free stock trading platform
1001+ employees
Be an early applicant
$154-181k
+ Bonus opportunities and equity
3-5 days a week in office (Menlo Park, CA)
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 5-10 years of experience developing and deploying predictive models
What the job involves
- We’re looking for dedicated and ambitious data science leaders 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
- As a Data Scientist you'll be part of a high-impact, cross-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 Robinhood products and deliver exceptional value to our customers
- 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
- 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 inform decision-making
- Create compelling data visualizations and narratives to effectively communicate insights and recommendations to cross-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 cross-functional teams to integrate data-driven decision-making into product and business processes
- Mentor other data scientists, contribute to standard methodologies, and help foster a data-informed culture across 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. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.
But Robinhood's not just about quick thrills. The company claims its mission lies in catering to "the unmet needs of the next generation," evidenced by its "Robinhood Retirement" launch, targeting gig-economy workers often excluded from financial planning. This commitment to accessibility aligns with its core values.
However, 2023 brought unexpected turbulence, as Robinhood became entangled in the FTX cryptocurrency exchange bankruptcy scandal when it emerged that the US Department of Justice seized hundreds of millions of dollars of the company's shares tied to FTX founder Bankman-Fried. Despite these challenges, Robinhood successfully bought back the missing stock, and its impact on democratizing finance remains undeniable.
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 benefits
- Well-being - Premium medical, dental, and vision insurance
- Family & home life - Parental leave, personal prosperity benefits
- Comfort & care - Annual lifestyle stipend
- Office life - Catered meals and fully stocked kitchen, commuter benefits
- Growth - Education and training, community events, career mentorships
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder)Studied Mathematics at Stanford University, where they met their fellow co-founder. Dropped out of a PhD to start Robinhood.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their fellow co-founder.
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