Applied Scientist, Worldwide Installments
Core
Building production machine learning models and pipelines for fraud detection and consumer financial credit risk within Amazon's Worldwide Installments business.
Role type
Senior Applied Scientist (Fraud Detection & Financial Risk)
Builds
Large-scale production ML systems for financing options and payment products
Domain
Fintech / Consumer Finance / Fraud Detection
Deliverable
production ML models
Required skills
Machine learning, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
PhD in CS/ML, 5+ years ML experience, Unix/Linux, professional software development
Technologies
Java, C++, Python, Unix/Linux
Responsibilities
Develop production ML models and pipelines for fraud detection, identify business opportunities and define modeling approaches, lead implementation of production ML to mitigate financial credit and fraud risks, influence business strategy and product vision using data science, improve ML roadmap and automate processes, coordinate support across engineers and stakeholders to deliver ML pipelines and proof of concepts.
Seniority
Senior, hands-on IC