Applied Scientist, Inventory Routing & ML Optimization

Amazon; Seattle, Northern (WA, KY); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Scientist to design and implement advanced optimization and machine learning solutions for inventory routing, replenishment, and network design. You will prototype and deploy models in production, collaborating closely with software engineers to ensure scalable, high-quality code.

The role requires a PhD in OR/applied math or related field, strong programming in Java/C++/C#, and experience applying theoretical models to real-world problems in a large-scale logistics

Qualifications

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
• Strong programming experience in Java/C++/C# with OO design.
• Experience applying theoretical models to real systems.

Responsibilities

• Design and develop optimization and ML solutions for inventory and network design.
• Prototype, simulate, and deploy models in production environments.
• Collaborate with software engineers to productionize science modules.

Skills

Java

C++

C#

Optimization

Machine learning

Operations research

Parallel computing

Education

PhD in operations research or applied mathematics or theoretical CS

Tools

CPLEX

Gurobi

Xpress

Job description

Amazon is seeking an Applied Scientist to design and implement advanced optimization and machine learning solutions for inventory routing, replenishment, and network design. You will prototype and deploy models in production, collaborating closely with software engineers to ensure scalable, high-quality code.

The role requires a PhD in OR/applied math or related field, strong programming in Java/C++/C#, and experience applying theoretical models to real-world problems in a large-scale logistics