Applied Scientist, SCOT-Inbound Systems
Core
Design and implement mathematical optimization and machine learning solutions for inventory routing, replenishment, and fulfillment network modeling.
Role type
Applied Scientist (Operations Research & Optimization)
Builds
Inventory routing algorithms, replenishment models, and network design solutions for Amazon's fulfillment network.
Domain
Supply Chain / Logistics / Operations Research
Deliverable
production ML models
Required skills
Mathematical optimization, machine learning, algorithms and data structures, numerical optimization, parallel and distributed computing, Java, Python, C++, C#, 3P mathematical optimization software (cplex/gurobi/xpress)
Preferred skills
Publications at top-tier conferences, statistical analysis, system solution prototyping
Technologies
Java, Python, C++, C#, cplex, gurobi, xpress
Responsibilities
Design advanced optimization and ML solutions, research and prototype models, write production code, deploy and measure impact, present to stakeholders, lead project plans, mentor scientists
Seniority
Senior, hands-on IC