Senior Logistics Optimization Expert

6 days ago


Washington, United States Amazon Full time

About Amazon's Fulfillment Optimization

Amazon is revolutionizing the logistics industry with its cutting-edge fulfillment optimization technology. As a Senior Applied Scientist in our Fulfillment Planning & Execution Science team, you will play a critical role in developing machine learning solutions that optimize our global supply chain operations.

The ideal candidate will have a strong background in machine learning, data analysis, and problem-solving. You will work closely with cross-functional teams to design, develop, and deploy scalable ML models that improve operational efficiency, reduce costs, and enhance customer satisfaction.

Your Key Responsibilities:

  • Develop and deploy machine learning models for outbound transportation planning systems
  • Collaborate with software engineering teams to integrate ML models into production systems
  • Lead and mentor junior scientists in the team
  • Design and implement efficient automated processes for large-scale data analysis and model development

What You'll Need:

  • PhD in econometrics, statistics, industrial engineering, or equivalent quantitative field
  • 5+ years of experience in building machine learning models for business applications
  • Strong programming skills in Java, C++, Python, or related languages
  • Experience with neural deep learning methods and machine learning frameworks

Salary Range: $150,400 - $260,000 per year (dependent on location)

About Our Team:

The Fulfillment Planning & Execution Science team is a diverse group of scientists and engineers who share a passion for optimizing complex supply chain operations. We are committed to delivering innovative solutions that drive business growth and improve customer experiences.



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