Amazon.com Operations Research Scientist in Seattle, Washington

Amazon Fulfillment Services is looking for a motivated individual with strong numerical optimization and analysis skills and practical inventory modeling experience to join our Modeling and Optimization team. The position is for a senior-level scientist. The qualified candidate will have experience implementing numerical optimization methods designed for inventory, network and combinatorial optimization.

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 modeling and visualization tools fed by our massive amounts of available data. You will be responsible for building these analytical tools that improve the economics of the North American, European, and Japanese fulfillment networks as Amazon increases the speed and decreases the cost to deliver product to customers. You will identify and evaluate opportunities to reduce variable costs by improving the fulfillment network topology, inventory placement, transportation operations and scheduling, fulfillment center processes, 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 scientist in this role will help to improve the efficiency of Amazon fulfillment centers creating support models designed to improve storage utilization as well as make use of the effective use of automation. This role will also provide guidance in the creation of new supply-chain metrics that quantify improvements resulting from the application of these optimization models and tools.

The ideal candidate will have the following optimization experience and skills:

  • Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.

  • Experience designing and implementing optimization models in for inventory, networks and other characteristics of supply-chain systems (e.g., staff scheduling, vehicle routing, and facility location).

  • Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.

  • A working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).

  • The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab).

  • Experience prototyping and developing software in traditional programming languages (C++, Java, Clojure, Python).

  • Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy) a plus.

  • Statistical analysis, machine learning and data-modeling in a database environment a plus.

  • Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.

  • Experience designing and implementing optimization models in for inventory, networks and other characteristics of supply-chain systems (e.g., staff scheduling, vehicle routing, and facility location).

  • Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience.

  • A theoretical and working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).

  • The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab).

  • Experience prototyping and developing software in traditional programming languages (C++, Java, Clojure, Python).

  • Familiarity with SQL and experience with very large-scale data.

  • PhD in Operations Research, Applied Mathematics, Theoretical Computer Science, or related Engineering Field and at least 7 years work experience.

  • Professional experience in both academic and industrial settings

  • Experience writing supply chain and inventory optimization models and applying optimization models in for strategic and tactical business decisions

  • Experience applying forecasting and data mining techniques in an industrial setting

  • Demonstrated experience designing/building forecasting systems and business metrics

  • Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting.

  • Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy).

  • Deep understanding of MIP numerical programming techniques to leverage commercial algorithms and adapt them as required

Amazon is an Equal Opportunity Affirmative Action Employer - F/M/V/D

AMZR Req ID: 337975

Recruiting Team: North American Teams - Ops & CS

External Company URL: www.amazon.com