Operations Research Engineer, AOP Science & Research

Description

AOP (Analytics Operations and Programs) Science & 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

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

About The Team

AOP (Analytics Operations and Programs) Science & Research 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

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
  
  

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis
  
  

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Company - ASSPL - Karnataka

Job ID: A10479649