Applied Scientist, 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
Senior Applied Scientist (Financial Systems & Fraud Detection)
Builds
Production ML models for anomaly and fraud detection in high-volume financial transaction systems
Domain
FinTech / Financial Services / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning, statistics, causal inference, data mining, Java, C++, Python, SQL, RDBMS
Preferred skills
Algorithm implementation, top-tier conference publications
Technologies
Amazon Cloud, Oracle, Data Warehouse
Responsibilities
Research and develop novel ML approaches for transaction anomaly detection, analyze historical transaction data to optimize processes, partner with developers to deploy models, mentor scientists and engineers on ML techniques
Seniority
Senior, hands-on IC with mentorship responsibilities (via careerplan.io/jobs/10571470-applied-scientist-finauto-at-amazon)