Amazon’s Supply Chain Optimization Team is looking for a passionate, talented network and combinatorial optimization expert and leader to join the Modeling and Optimization team to focus on the design of Amazon’s transportation network.
The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost effectively as possible. We manage the flow of packages from fulfillment centers (FCs) to both carrier hubs and Amazon Logistics’ sort centers and delivery stations. Optimizing these package flows requires designing the structure and operating parameters of the network, and managing, scheduling, and routing line haul trucks and last mile delivery vehicles.
We are seeking an expert in network flow and combinatorial optimization problems to develop models and solution algorithms to design the network, plan and schedule resources, and ensure that we can execute effectively to these plans. The Principal Research Scientist will focus on modeling and solution approaches for the planning of transportation resources and integrating with the network design. We are looking for a motivated individual with a recognized background in mathematical optimization, including numerical solution of continuous and discrete problems using exact, approximation algorithms, and heuristic methods. We are looking for someone with expertise in the network design and scheduling space, particularly with planning under uncertainty. The person should have current or prior academic experience with a heavy practical consultative component, or industry experience conducting research in the area of mathematical/statistical modeling and analysis.
The analyses and models produced by the team will guide business decisions by highlighting opportunities, identifying correlations, defining experiments, and determining cause and effect relationships. You will partner closely with many groups such as operations, IT, retail, and finance teams to support various business initiatives.
The candidate will work closely with Amazon leadership and the rest of the operations research and data science teams to leverage the expertise of each individual to construct models, perform analyses, and derive relevant metrics. The candidate must have relevant domain knowledge to teach and mentor group members and to critique models and approaches taken by the group in terms of business relevance, technical validity, software architecture, and computational performance. The candidate must have the skills to write documents that influence important investment and resource allocation decisions by clearly articulating the strategy, business impact, and technical challenges.