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