Optimization Scientist, Transportation Networks

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Disability accommodations

Job summary

Amazon Transportation is seeking an Applied Scientist to create and optimize models for driver capacity and network planning. You will design algorithms, validate them with data, and work with product, engineering, and operations teams to deploy production-ready solutions.

The role emphasizes building scalable optimization techniques, applying machine learning, and presenting results to stakeholders. A strong foundation in optimization and programming is required, with collaboration across a

Qualifications

• PhD or Master’s degree with 4+ years in relevant field.
• Proficiency in Java, C++, or Python.
• Experience building ML models or algorithms for business use.
• Strong foundation in optimization (LP, nonlinear).

Responsibilities

• Design and develop optimization models and algorithms for planning systems.
• Prototype to production-level implementation of models.
• Translate business problems into modeling approaches with cross-functional partners.
• Influence business decisions through rigorous modeling and analysis.
• Communicate results to scientific and business audiences.

Skills

Java

C++

Python

Optimization

Machine learning

Education

PhD or Master's + 4+ years

Tools

Gurobi/CPLEX

SQL

Job description

Amazon Transportation is seeking an Applied Scientist to create and optimize models for driver capacity and network planning. You will design algorithms, validate them with data, and work with product, engineering, and operations teams to deploy production-ready solutions.

The role emphasizes building scalable optimization techniques, applying machine learning, and presenting results to stakeholders. A strong foundation in optimization and programming is required, with collaboration across a