Operations Research Engineer, AOP Science & Research

Join Amazon's AOP (Analytics Operations and Programs) RoW ((Rest of World) Research Science Team to revolutionize supply chain planning across multiple geographies including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore. As an Operations Research Scientist, you'll develop optimization solutions using simulations, integer programming, and heuristic search to solve complex short-term capacity planning challenges that directly impact millions of customers worldwide.

Key job responsibilities We are looking for an Operations Research Scientist to develop & support our Short term capacity planning initiatives using Simulations, Integer Programming, Linear Programming or Heuristic search. This Scientist, will work closely with our program partners to define business requirements, build data pipeline, write optimization code, deep dive on solution quality and drive adoption with operations. The employee will also be responsible for interfacing with global science teams to help launch their tools to new geographies.

A day in the life The employee will work with our program partners to find new opportunities for building/launching decision support tools for our Supply Chain planning teams. This will include

1. Understanding the current planning process for program teams and tools available to them.
2. Determining the gaps in the tools/decision making through data analysis or simulation systems.
3. Determining the best possible tool to solve for the current gaps.
4. Launch or develop the identified tool through coding or solution deep dives and scenario creation.

About the team

AOP (Analytics Operations and Programs) team supports supply chain processing for the multiple geographies like IN, Japan, Mexico, Brazil, MENA, AU & SG. The research team works to support network design, labor planning and capacity planning processes through launching decision support tools for planning or execution.

Basic qualifications

• PhD in a quantitative field, or MS degree and 1+ 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