ASSPL
Fulfillment Operations Management, Research Science, transportation and logistics
OperationsResearchScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Operations Research Scientist at ASSPL. Skills: Optimization, Supply Chain, Capacity Planning. Develop optimization solutions. Solve capacity planning challenges”
What You'll Achieve.
Impact millions of customers
Industry & Context.
Data analysis; Simulation systems
What They're Looking For.
Must Have
Master's degree and 4+ years quantitative research experience, Experience applying scientific principles to business problems, Experience analyzing experimental and observational data
Nice to Have
Knowledge of R, MATLAB, Python or similar scripting language, Experience with agile development, Experience building web based dashboards
What You'll Do.
Develop optimization solutions
Solve capacity planning challenges
Define business requirements
Write optimization code
Deep dive on solution quality
Drive adoption with operations
Interface with global science teams
Launch tools to new geographies
Understand current planning process
Determine gaps in tools
Determine best possible tool
Launch or develop tool
How You'll Work.
Team & Collaboration
Program partners; Global science teams; Supply Chain planning teams
Full Job Description
Join Amazon's Rest of World Supply Chain Research 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 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. Basic Qualifications: - PhD, or Master's degree and 4+ years of quantitative fie
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