Robinhood
Senior Data Scientist, Product
Menlo Park, CA. Posted 3 months ago
The role
You will support the Growth organization by focusing on Gold subscriptions. You will design and analyze experiments, analyze customer behavior, and collaborate with Product, Marketing, and Finance partners to measure business impact.
What you will do
- Support the Growth org, focusing on Gold subscriptions.
- Design and analyze experiments to test new features, offers, and campaign strategies.
- Analyze customer behavior and identify new opportunities to grow Gold through improved targeting, retention, and messaging.
- Collaborate with partners in Product, Marketing, and Finance to prioritize key initiatives and measure business impact clearly.
Required qualifications
- 5+ years of experience in data science, analytics, or a related field.
- Experience as a Product Data Scientist or in a similar role, partnering closely with product teams to directly shape product strategy and roadmap decisions.
- Strong proficiency in SQL and Python for data analysis and modeling.
- Experience designing experiments and interpreting results to guide product decisions.
- Experience with data visualization tools and techniques.
- Ability to successfully implement projects and compete in a fast-paced environment.
Nice to have
- experience with subscription, recurring-revenue, or membership business models
Benefits
- Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
- 100% paid health insurance for employees with 90% coverage for dependents.
- 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!
- Catered meals, events, and comfortable workspaces.
About the company
Robinhood's mission is to democratize finance for all. The Growth team helps the company grow by pairing data-driven insights with execution.