Operations Research Engineer, AOP Science & Research

Amazon; India; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Amazon in India seeks an Operations Research Engineer to develop optimization solutions for short-term capacity planning across multiple geographies. You will implement simulations, integer programming, linear programming, and heuristic search to improve decision making for supply chain processes, impacting millions of customers.

You will collaborate with global science teams and program partners to define requirements, build data pipelines, and launch decision-support tools across new

Qualifications

• PhD or MS in a quantitative field with strong research background.
• Experience applying scientific principles to business problems.
• Proficiency with data analysis tools and large datasets.

Responsibilities

• Develop and support short-term capacity planning solutions using simulations, IP/LP, or heuristics.
• Collaborate with program partners to define requirements and build data pipelines.
• Interface with global science teams to launch tools in new geographies.
• Identify gaps in planning tools through data analysis and simulations.

Skills

Data analysis

Optimization

Forecasting

Data visualization

Education

PhD in quantitative field

MS in quantitative field

Tools

R

SAS

MATLAB

SQL

Job description

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.

• 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

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• Experience applying forecasting and data mining techniques

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