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Location

Bellevue, WA | United States

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Job description

DESCRIPTION

Amazon.com Services, Inc. is looking for a motivated individual with strong analytical skills and practical experience to join our Modeling and Optimization team. We are hiring specialists into our scientific team with expertise in network and combinatorial optimization, simulation-based design, and/or control theory.

Amazon is growing rapidly and because we are driven by faster delivery to customers, a more efficient supply chain network, and lower cost of operations, our main focus is in the development of analytical strategic models and automation tools fed by massive amounts of data. You will be responsible for building these models/tools that improve the economics of Amazon’s worldwide fulfillment networks in North America, Europe, and Japan, China, and India as Amazon increases the speed and decreases the cost to deliver products to customers. You will identify and evaluate opportunities to reduce variable costs by improving fulfillment center processes, transportation operations and scheduling, and the execution to operational plans. You will also improve the efficiency of capital investment by helping the fulfillment centers to improve storage utilization and the effective use of automation. Finally, you will help create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools.

The ideal candidate will have good communication skills with both technical and business people with ability to speak at a level appropriate for the audience.

Key job responsibilities
* Understand ambiguous business problems, model it in the simplest and most effective manner with limited guidance.
* Use new or existing tools to support internal partner-teams and provide the best, science-based guidance.
* Contribute to existing tools with highly disciplined coding practices.
* Contribute to the growth of knowledge of our team and the scientific community with internal and external publications or presentations.

About the team
* At the Modeling and Optimization (MOP) team, we use optimization, algorithm design, statistics, and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.
* We focus on transportation topology, labor and resource planning, routing science, visualization research, data science and development, and process optimization.
* We create models to simulate, optimize, and control the fulfillment network with the objective of reducing cost while improving speed and reliability.
* We support multiple business line, therefore maintain a comprehensive and objective view, coordinating solutions across organizational lines where possible.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets

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Job tags

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Salary