Tech Stack

Description

As a Senior Data Scientist on the Fraud team at Robinhood, you will design and deploy machine learning models to detect and prevent fraud in real time, safeguard users and assets, and collaborate with cross-functional teams to shape fraud prevention strategy. Your work directly impacts customer security, company risk posture, and regulatory compliance.

Requirements

• 5+ years experience in data science or applied ML, with focus on fraud detection or risk mitigation
• Advanced proficiency in Python and SQL
• Experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
• Strong statistical acumen with anomaly detection, pattern recognition, and A/B testing
• Excellent communication and ability to influence across technical and non-technical audiences

Responsibilities

• Design and deploy fraud detection models to protect users and assets in real time
• Analyze behavioral data to uncover emerging fraud vectors and support incident response
• Develop robust data pipelines and monitoring systems for model accuracy and reliability
• Partner with engineering and product teams to implement safeguards and user-facing features
• Guide experimentation strategy and contribute to long-term fraud prevention roadmap