Applied Scientist: Last Mile Planning & Optimization

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

Job summary

Amazon is seeking an Applied Scientist for Execution Planning Science & Engineering in Bellevue, WA. You will design and implement models to optimize Last Mile labor planning and supply chain decisions, collaborating with software teams and business leaders.

You will run experiments, evaluate impact, and contribute to scalable production systems, applying optimization and ML techniques to improve cost, speed, and reliability for customers and Amazon associates.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree with 4+ years in CS/CE/ML or related field.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, optimization, data mining.

Responsibilities

• Design, model, develop and implement state-of-the-art models and solutions.
• Interact with software engineering teams and business leadership.
• Design experiments, evaluate impact and feed strategic analyses.
• Contribute to production systems in the Last Mile space.

Skills

Java

C++

Python

Algorithms

Data Mining

Parallel Computing

Education

PhD

Master's degree

Job description

Amazon is seeking an Applied Scientist for Execution Planning Science & Engineering in Bellevue, WA. You will design and implement models to optimize Last Mile labor planning and supply chain decisions, collaborating with software teams and business leaders.

You will run experiments, evaluate impact, and contribute to scalable production systems, applying optimization and ML techniques to improve cost, speed, and reliability for customers and Amazon associates.