Data Scientist, AWS Payments and Fraud Prevention
Core
Own end-to-end detection models and measurement science to identify and block fraudulent and compromised AWS accounts in real time.
Role type
Senior IC data scientist (fraud detection)
Builds
Real-time fraud detection models and agentic systems for AWS
Domain
Cloud security / Fraud prevention
Deliverable
production ML models
Required skills
Statistical modeling, machine learning, experimental design, data scripting (SQL/Python/R), feature engineering, model monitoring, technical documentation
Preferred skills
LLM fundamentals, Reinforcement Learning, Deep Learning, NLP, cloud ML deployment (AWS SageMaker/Redshift), adversarial domain experience
Technologies
AWS (Redshift, SageMaker, Fargate, Lambda, Bedrock, DynamoDB), SQL, Python, R
Responsibilities
Design and train detection models from pattern discovery to production launch; define and audit outcome-based metrics (precision, recall, cost); evaluate agentic and LLM-based systems; extend detection to new AWS services; mentor junior scientists
Seniority
Senior, hands-on IC