Applied Scientist, Supply Chain Optimization Technologies, Specialized Selection
Core
Build next-generation selection and assortment systems for Amazon's limited shelf assortment, perishable grocery, and fastest delivery programs using ML and optimization models.
Role type
Senior Applied Scientist (Supply Chain Optimization)
Builds
Scalable, automated selection management systems and tools for partners/business owners
Domain
Supply Chain Optimization / Retail / Machine Learning
Deliverable
production ML models
Required skills
supervised and unsupervised machine learning, mixed integer linear programs (MILPs), reinforcement learning, causal inference, experiment design, algorithms and data structures, numerical optimization, parallel and distributed computing, high-performance computing
Preferred skills
operations research, applied mathematics, theoretical computer science, professional software development
Technologies
Java, C++, Python
Responsibilities
Map business requirements to scientific solutions, design scalable solutions, develop metrics for model efficacy, prototype and analyze new models, productionize scientific solutions, publish findings in conferences, mentor scientists
Seniority
Senior, hands-on IC with research output