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

Amazon • Bellevue, WA

8d

About The Position

Amazon's Modeling and Optimization (MOP) team seeks motivated individual with
strong analytical and algorithmic skills to optimize the global logistics
network and its operations.

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.

Requirements

• 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

Nice To Haves

• 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

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
• 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.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree