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Senior Applied Scientist - Optimization, Fulfillment Planning and Execution Science - Fulfillment Optimization

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Amazon Science
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Operations Research Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 167000 - 226000 USD Yearly USD 167000.00 226000.00 YEAR
Job Description & How to Apply Below
Key job responsibilities

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on the promised date/time? Have you wondered where all those Amazon semi-trucks on the road are headed? Are you passionate about increasing efficiency and reducing carbon footprint? Does the idea of having worldwide impact on Amazon's logistics network including our planes, trucks, and vans sound exciting to you?

If so, then we want to talk with you! At Amazon's Supply Chain Optimization Technologies (SCOT), we are tasked with optimizing the fulfilment on customer orders so that we fulfil all orders worldwide in the most intelligent manner while ensuring Amazon customers get their orders on time.

Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT
- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Optimization and a proven record of solving business problems through scalable Optimization solutions. FPX Science tackles some of the most mathematically complex challenges in transportation planning and execution space to improve Amazon's operational efficiency worldwide. We own Amazon’s global fulfilment planning and execution. The team also owns the short and mid-term-term network planning and execution that determines the optimal flow of customer orders through Amazon fulfilment network.

This includes developing sophisticated math models that assign orders to fulfilment centres to be picked and packed and then planning the optimal ship method in terms of cost, speed and carbon impact to deliver to the customer. These plans drive downstream decisions that are in the billions of dollars at Amazon Scale worldwide! The systems we build are entirely in-house, and are on the forefront of both academic and applied research in large scale supply chain planning, optimization, machine learning and statistics.

These systems operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimize Amazon’s fulfilment network. Your tech solution will have large impacts to the physical supply chain of Amazon, and play a key role in improving Amazon consumer business’s long-term profitability. If you are interested in diving into a multi-discipline, high impact space this is the team for you.

We’re looking for a passionate, results-oriented, and inventive Senior Applied Scientist who can create and improve optimization models for our outbound transportation planning and execution systems. In addition, you will be working on design, development and evaluation of highly innovative Optimization models for solving complex business problems in the area of outbound transportation planning systems.

Watch (Use the "Apply for this Job" box below). to get the big picture.

Key job responsibilities
  • Design, development and evaluation of highly innovative Math models for solving complex business problems.
  • Research and apply the latest Optimization techniques and best practices from both academia and industry.
  • Think about customers and how to improve the customer delivery experience.
  • Use and analytical techniques to create scalable solutions for business problems.
  • Work closely with software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale.
  • Technically lead and mentor other scientists in team.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
A day in the life

This is a great role for someone who likes to learn new things. You will have the opportunity to learn all about how Amazon plans…

Position Requirements
10+ Years work experience
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