ROW SHARP Research team is responsible for building and supporting science capabilities for Amazon Supply chain teams in multiple geographies. Some example of current areas that we support are, (i) Network Design, (ii) Long Term Capacity Planning, (iii) Labor Optimization.
Key job responsibilities
We are looking for an Operations Research Engineer to develop & support our network design initiatives using Mixed Integer Programming, Linear Programming or Heuristic search. This engineer, 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 for to new geographies.
A day in the life
The employee will work with our Research Scientists and BIEs to find new opportunities for building/launching decision support tools for our Supply Chain program 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
Rest of World (RoW) Supply CHain Analytics, Research and Product (SHARP) 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.
We are open to hiring candidates to work out of one of the following locations:
Bangalore, KA, IND
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience using optimization techniques like Linear Programming, Integer Programming and Heuristic Search
- Experience with one commercial solver like Gurobi, Xpress or CPLEX
- Programming experience with at least one software programming language. Python preferred
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Excellence in technical communication with peers and non-technical cohorts who may be remote
- Ability to tackle big, incompletely-specified problems and resolve ambiguity in the customer's favor.
- Ability to drive consensus within a team and influence outcomes in significant technical decision-making.
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