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    • Operations Research Scientist, ROW SHARP Research 29/11/2024 - Bengaluru - Amazon

    Amazon
    Amazon Bengaluru

    3 weeks ago

    Amazon background
    Description

    About ROW SHARP Research Team

    The ROW SHARP Research team is responsible for building and supporting science capabilities for Amazon Supply Chain teams in multiple geographies.

    Some examples of current areas that we support include:

    • Network Design
    • Long-Term Capacity Planning
    • Labor Optimization

    Job Responsibilities

    We are looking for an Operations Research Scientist to develop and support our Short-Term Capacity Planning initiatives using simulations, integer programming, linear programming, or heuristic search.

    This scientist will work closely with program partners to define business requirements, build data pipelines, write optimization code, conduct deep dives 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 program partners to find new opportunities for building and launching decision support tools for Supply Chain planning teams.

    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. Launching or developing the identified tool through coding or solution deep dives and scenario creation.

    About the Team

    The ROW SHARP Research and Product (SHARP) team supports supply chain processing for multiple geographies, including India, Japan, Mexico, Brazil, MENA, Australia, and Singapore.

    The research team works to support network design, labor planning, and capacity planning processes through launching decision support tools for planning or execution.

    Requirements

    To be successful in this role, you should have:

    • A 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 languages.
    • Experience with MIP solvers like Gurobi, Xpress, or Cplex.
    • Experience with algorithms such as Network Flow, Shortest Path, Max Flow, etc.
    • Experience with agile development.
    • Experience with data structures and algorithms.
    • Experience with object-oriented programming (OOPs) and design principles.

    Estimated Salary: $120,000 - $180,000 per year

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