Applied Scientist, Operations Research, Modeling and Optimization (MOP)
Core
Develop production-ready algorithms and scientific tools to optimize global logistics network efficiency, reduce variable costs, and plan capital investment.
Role type
Senior Applied Scientist (Operations Research & Optimization)
Builds
Production algorithms and scientific tools for network process analysis and optimization
Domain
Logistics, Supply Chain, Operations Research
Deliverable
production ML models
Required skills
numerical optimization, algorithms and data structures, parallel and distributed computing, high-performance computing, Java, C++, Python
Preferred skills
mathematical programming, process simulation, reinforcement learning, Unix/Linux, professional software development
Responsibilities
Lead development of production-ready algorithms for network optimization, drive planning decisions on operation timing and resource allocation, develop metrics to quantify business impact, partner with customers to incorporate needs into tool improvements, influence adjacent systems for long-term operating policies.
Seniority
Senior, hands-on IC
