Applied Scientist, Operations Research, Modeling and Optimization (MOP)

Key job responsibilities

• Enhance global logistics network efficiency through data-driven simulation and optimization
• Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
• Optimize capital investment through strategic fixed asset deployment planning
• Develop metrics to quantify business impact of implemented solutions

A day in the life

• Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
• Drive planning and execution decisions on operation timing and resource allocation to improve capacity, cost, and speed
• Manage customer interactions, promote science-based processes, and incorporate customer needs into tool improvements
• Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests
• Interact with and influence adjacent systems and tools, including those for long-term operating policies and daily capacity planning
• Blend scientific expertise with business acumen to deliver impactful solutions across the organization

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development
• Experience applying mathematical programming, process simulation, and reinforcement learning to operations research and optimization under uncertainty in real-world applications

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually