Applied Scientist II, Buyer Risk Prevention (BRP)
Core
Design, develop, and deploy advanced algorithmic systems using machine learning and Generative AI to detect fraud and prevent risk for millions of daily transactions.
Role type
Senior Applied Scientist (Risk & Fraud Prevention) (via careerplan.io/jobs/10567079-applied-scientist-ii-buyer-risk-prevention-brp-at-amazon)
Builds
Large-scale real-time risk management systems and fraud detection algorithms
Domain
eCommerce, Financial Risk, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Generative AI, LLMs, statistical modeling, algorithm design, data mining, numerical optimization, parallel/distributed computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development, software delivery
Technologies
Generative AI, LLMs, Java, C++, Python
Responsibilities
Own end-to-end development of ML models for risk management systems; analyze large volumes of historical and real-time data to identify fraud patterns; design, develop, validate, and deploy innovative models to production; apply GenAI/LLM technologies to automate risk evaluation; collaborate with engineering teams to implement scalable real-time solutions; track model performance and business metrics; research and implement novel ML methodologies
Seniority
Senior, hands-on IC