Operations Research Scientist, Row Sharp Research

2 days ago

Bengaluru Karnataka, India ASSPL - Karnataka Full time

PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with MIP Solvers like Gurobi, Xpress or Cplex.
- Experience with algorithms of Network flow like shortest path, Max Flow etc

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 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
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.
- Experience with agile development
- Experience with Data structures and Algorithms
- Experience with concepts of OOPs and Design principles

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