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 in a quantitative field, or MS degree and 2+ years of quantitative field research experience

　　Experience investigating the feasibility of applying scientific principles and concepts to business problems and products

　　Experience with data analysis package (R, SAS, Matlab, etc.)

　　Experience using SQL databases to manage and analyze large data sets

　　Preferred Qualifications

　　PhD in operations research, applied mathematics, theoretical computer science, or equivalent

　　Experience applying forecasting and data mining techniques

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $100,400/year in our lowest geographic market up to $195,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.