Senior Data Scientist, Robinhood
Marketing Science
$187-220k
+ Robinhood bonus plan and Robinhood’s equity plan
Office located in Menlo Park, CA
Commission-free stock trading platform
Open for applications
Commission-free stock trading platform
1001+ employees
Open for applications
$187-220k
+ Robinhood bonus plan and Robinhood’s equity plan
Office located in Menlo Park, CA
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future
- If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply
- The ideal candidate will be deeply passionate about addressing emerging challenges in fraud detection, such as combating Deepfakes and AI-generated images, and will thrive in a fast-paced, growth-oriented environment
- 5+ years of experience in Data Science, with a focus on ranking, personalization, user engagement analytics, or marketing optimization
- Deep expertise in A/B testing, causal inference, and experiment design, particularly for evaluating the incremental impact of ranking models, marketing campaigns, and personalization strategies
- Proficiency in Python, SQL, and statistical modeling tools (e.g., Scipy, Stats models, R) for data exploration, hypothesis testing, and attribution modeling
- Experience with evaluation frameworks for rankings, including engagement-based metrics like CTR and dwell time, as well as metrics related to LTV, conversion rate, and modeling of return on investment
- Ability to analyze and optimize the health of marketing channels (emails, notifications, in-app cards, bottom sheets), identifying trends, anomalies, and opportunities for improvement
- Experience with structured ranking techniques, such as rule-based prioritization, scoring based on rules, and feature engineering (without needing deep ML modeling knowledge)
- Proven track record to translate complex data insights into actionable business recommendations, collaborating with cross-functional teams in Marketing, Growth, Finance, and Engineering
- Experience working with large-scale datasets and distributed computing tools like Spark (preferred but not required)
What the job involves
- We are seeking a skilled computer vision specialist to play a pivotal role in developing a robust ID/selfie verification system designed to detect fraud and improve the customer experience
- This position is essential to our business, ensuring the security and trust of our platform
- You will be responsible for designing and implementing innovative solutions to mitigate evolving fraud risks while contributing to the overall success of our mission to protect customers
- As a Senior Data Scientist on the Marketing Science team, you will be responsible for developing and implementing best-in-class measurement and experimentation frameworks to support Robinhood’s personalization efforts
- Use data to drive ranking decisions, measure impact, and improve user engagement
- Design A/B tests and causal inference studies to assess how personalization strategies influence conversions and long-term user behavior
- Analyze trends in marketing channel performance, from CTR and deliverability to user opt-outs and engagement fatigue. Your insights will help us make informed decisions about message frequency, ranking strategies, and personalization improvements
- Work on scalable measurement frameworks, ensuring our ranking models and engagement strategies are optimized for both user experience and business impact
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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