Applied Scientist, Modeling & Optimization Planning

Amazon

Bellevue, Northern (WA, KY)

Hybrid

USD 143,000 - 193,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, and Vision Coverage
Paid Time Off (PTO)
401(k) Plan

Job summary

Amazon is seeking an Applied Scientist for the MOP team in Bellevue, WA to advance optimization and modeling for labor capacity planning in the Fulfillment Network. You will collaborate across science, software, product, and operations to deliver scalable solutions.

The role emphasizes building production-ready models, simulations, and experiments, with direct impact on process efficiency and associate experience in a fast-paced environment.

Qualifications

  • PhD or Master’s in CS/CE/ML or related field.
  • 3+ years building models for business applications.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms, optimization, data mining, high-performance computing.

Responsibilities

  • Develop understanding of operational processes and system architecture.
  • Identify improvement opportunities from data and code.
  • Create scalable mathematical models for production systems.
  • Develop prototypes and simulations for experimentation.
  • Advocate for technical solutions with stakeholders.
  • Partner with engineers to integrate prototypes into production systems.
  • Design experiments and build metrics to track performance.

Skills

Operations research
Optimization
Mathematical modeling
Machine learning

Education

PhD or Master's degree in CS/CE/ML or related field

Tools

Java
C++
Python

Job description

Amazon is seeking an Applied Scientist for the MOP team in Bellevue, WA to advance optimization and modeling for labor capacity planning in the Fulfillment Network. You will collaborate across science, software, product, and operations to deliver scalable solutions.

The role emphasizes building production-ready models, simulations, and experiments, with direct impact on process efficiency and associate experience in a fast-paced environment.

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