Senior Data Scientist - Marketing Science

Robinhood • Menlo Park, CA

332d • $187,000 - $220,000

About The Position

Join a leading fintech company that's democratizing finance for all. Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in. With growth as the top priority, 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.

Requirements

• 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).

Responsibilities

• 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.
• Work on scalable measurement frameworks, ensuring our ranking models and engagement strategies are optimized for both user experience and business impact.

Benefits

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities