Applied Scientist, Optimization & Planning (MOP)

Amazon; Factoria (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Job summary

Amazon is seeking an Applied Scientist for the MOP team in Bellevue, WA. You will develop optimization-driven production solutions for labor capacity planning and collaborate with scientists, software engineers, product managers, and operations leaders to deploy models in production environments.

The role emphasizes scalable models, simulations, experiments, and partnerships to improve efficiency and associate experience across the fulfillment network.

Qualifications

• PhD or Master's with 4+ years in CS/CE/ML.
• 3+ years building models for business applications.
• Proficient in Java, C++, or Python.

Responsibilities

• Develop understanding of operational processes and business requirements.
• Deep dive into data and code to identify improvement opportunities.
• Develop scalable mathematical models for production systems.
• Create prototypes and simulations for agile experimentation.
• Advocate for technical solutions with stakeholders.
• Partner with engineers to integrate prototypes into production systems.
• Design experiments to test new solutions and build metrics.

Skills

Operations research

Optimization

Modeling

Java

C++

Python

Distributed computing

Data mining

Education

PhD or Master's + 4+ years CS/CE/ML

Tools

Numerical optimization

Parallel computing

Job description

Amazon is seeking an Applied Scientist for the MOP team in Bellevue, WA. You will develop optimization-driven production solutions for labor capacity planning and collaborate with scientists, software engineers, product managers, and operations leaders to deploy models in production environments.

The role emphasizes scalable models, simulations, experiments, and partnerships to improve efficiency and associate experience across the fulfillment network.