Applied Scientist, WWOS Tech
Core
Build ML models to detect theft, fraud, and organized crime rings within Amazon's global supply chain and operations.
Role type
Applied Scientist (fraud detection & supply chain analytics)
Builds
Intelligent, self-learning systems for fraud detection and theft automation
Domain
Supply chain operations + fraud detection
Deliverable
production ML models
Required skills
PhD or Master's + 4+ years in CS/ML, algorithms/data structures, numerical optimization, data mining, parallel/distributed computing, high-performance computing, Java/C++/Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Own KPIs for theft/fraud management, detect and automate theft/fraud MOs, detect organized crime rings and bad actor clusters, perform end-to-end evaluation of operational defects, integrate ML detection models via software applications, present key learnings to stakeholders
Seniority
Senior, hands-on IC