Applied Scientist II, SCOT-Optimal Sourcing Systems, Buying Science Team
Core
Design and develop innovative optimization, causal inference, and machine learning solutions to optimize inventory sourcing and orchestrate inbound flows from vendors for Amazon's global supply chain.
Role type
Senior Applied Scientist (Supply Chain Optimization)
Builds
Optimization models and software solutions for inventory sourcing and vendor orchestration
Domain
Supply Chain Management + Optimization + Machine Learning
Deliverable
production ML models
Required skills
numerical optimization, causal inference, machine learning, deep learning, algorithms and data structures, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
Unix/Linux, professional software development
Technologies
Java, C++, Python
Responsibilities
Set scientific strategic vision and lead problem decomposition; invent novel methodologies for ambiguous research challenges; personally write critical-path code and deploy novel models into production; develop reusable science components and set technical standards; influence business and engineering strategies; foster cross-team collaborations and mentor others.
Seniority
Senior, hands-on IC