Applied Scientist II, FinAuto
Core
Build scalable machine learning systems to detect and prevent theft, fraud, abuse, and waste in financial transactions across Amazon's global operations.
Role type
Applied Scientist II (Financial Systems & Fraud Detection)
Builds
Production ML models for anomaly and fraud detection in high-volume transaction data
Domain
FinTech / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistics, causal inference, data mining, numerical optimization, parallel and distributed computing, algorithms and data structures
Preferred skills
Deep learning, computer vision, professional software development
Technologies
Java, C++, Python
Responsibilities
Research and implement novel ML approaches for transaction anomaly detection, analyze historical transaction data to optimize processes, partner with engineering to deploy models, mentor scientists and engineers on ML techniques
Seniority
Mid-Senior, hands-on IC
