Amazon

Research Scientist II, ROW AOP

Posted On

March 5, 2025

Location

Hyderabad, Telangana

Experience Level

Freshers/Experienced

Job Type

Research Science

Apply By

March 25, 2025

Job Description

ROW AOP is responsible for building and supporting science capabilities for Amazon Operations teams in 10+ marketplaces. Some example of current areas that we support are, (i) Short Term Capacity Planning, (ii) Real-time Capacity Optimization, (iii) Route Optimization, (iv) Channel Mix Optimization, (v) Network Fraud and so on.

Key job responsibilities
We are looking for an Operations Research Scientist to develop & support our Route Optimization and Capacity Optimization initiatives using Simulations, Integer Programming, Linear/Non-Linear Programming, Column Generation 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 Ops 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.- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R, MATLAB, Python or similar scripting language
- Experience with concepts of OOPs, Design principles, Data Structures and Code Optimization

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