Senior Data Scientist - Marketing Science

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.

About the team + role

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. 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. 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

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What You'll Do

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. Key responsibilities include:

• 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.

What you bring

• 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).

We are committed to providing an inclusive and welcoming interview experience for all candidates. If you have any specific needs or require assistance related to a physical or mental condition, please inform us by completing our Applicant Accommodation Form.

What we offer

• Market competitive and pay equity-focused