Amazon is seeking a scientist with strong analytical and communication skills to identify opportunities to develop complex optimization models that will redefine the standards of operation in our North American transportation network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide.

We develop scalable and robust state-of-the-art optimization models and algorithms, and what-if scenario planning simulation tools to make long term transportation capacity and volume planning decisions that considers varying demand patterns, costs, and operational constraints.

We are looking for a Research Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering and/or Simulation.

In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Capacity Optimization and Scenario Planning Capabilities for mid to long-term transportation volume planning.

You will collaborate closely with scientists, product management peers as well as business stakeholders.

You are an individual with strong analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.




Key job responsibilities
- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment
- Collaborate with cross-functional teams including Product management, Business Intelligence Engineering, and Supply Chain/Transportation Planning to translate model insights into actionable business strategies
- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities
- Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models
- Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches
- Create and track accuracy and performance metrics (both technical and business metrics)
- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders
- Drive best practices on the team; mentor and guide junior members to achieve their career growth potential