Applied Scientist, Operations Research, Modeling and Optimization (MOP)

Amazon

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profile Job Location:

Bellevue, WA - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Amazons Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.

Key job responsibilities
- Enhance global logistics network efficiency through data-driven simulation and optimization
- Reduce variable costs by improving network design inventory placement process and operational planning and resource allocation
- Optimize capital investment through strategic fixed asset deployment planning
- Develop metrics to quantify business impact of implemented solutions

A day in the life
- Lead development of production-ready algorithms and scientific tools for under-the-roof (UTR) and network process analysis and optimization
- Drive planning and execution decisions on operation timing and resource allocation to improve capacity cost and speed.
- Manage customer interactions promote science-based processes and incorporate customer needs into tool improvements.
- Partner with team members and customers to exercise judgment on appropriate analysis methods for various business requests.
- Interact with and influence adjacent systems and tools including those for long-term operating policies and daily capacity planning.
- Blend scientific expertise with business acumen to deliver impactful solutions across the organization.

- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Experience applying mathematical programming process simulation and reinforcement learning to operations research and optimization under uncertainty in real-world applications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 142800.00 - 193200.00 USD annually


Required Experience:

IC

Amazons Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.Key job responsibilities- Enhance global logistics network efficiency through data-driven simulation and optimization- Red...
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Key Skills

  • Laboratory Experience
  • Machine Learning
  • Python
  • AI
  • Bioinformatics
  • C/C++
  • R
  • Biochemistry
  • Research Experience
  • Natural Language Processing
  • Deep Learning
  • Molecular Biology

About Company

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