Senior Data Scientist (Fraud)
As a Senior Data Scientist, Fraud, you will design and deploy machine learning solutions to detect and prevent fraud and abuse on the Robinhood platform. You will analyze behavioral data, develop robust data pipelines, and partner with various teams to enhance platform security and integrity. This role focuses on leveraging advanced data science techniques to safeguard users and assets in real time.
We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has a direct impact on customer security, company risk posture, and regulatory compliance.
As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.
This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week.
Posted June 2, 2026