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

Have you ever wondered how Amazon predicts when your order will arrive and how we ensure that it actually arrives on at 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 Amazons logistics network including our planes trucks and vans sound exciting to you If so then we want to talk with you! At Amazons 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 Amazons operational efficiency worldwide. We own Amazons 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 Amazons 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 businesss long-term profitability. If you are interested in diving into a multi-discipline high impact space this is the team for you. Were 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 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.
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Key job responsibilities
As a Senior Applied Scientist you will propose and deploy solutions that will likely draw from a range of scientific areas such as Optimization machine learning advanced statistical modeling and graph models. You will be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers research scientists statisticians and software engineers to integrate scientific work into production systems. You will bring deep technical expertise in the area of Mathematical Optimization and play an integral part in building Amazons Fulfillment Optimization systems. Other responsibilities include:

* 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 for and executes within its logistics network including Fulfillment Centres Air Stations Sort Centres Delivery Stations and more. You will need to meet with many internal customers to understand their business and their challenges as you develop an effective solution to enable us to collectively scale. Our leadership is very interested in this effort so you will find lots of opportunities to get your ideas and plans in front of them for evaluation and alignment. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready mathematical optimization solutions. A successful candidate is able to quickly approach large ambiguous problems turn high-level business requirements into mathematical models identify the right solution approach and contribute to the software development for production systems. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving be able to measure and estimate risks constructively critique peer research and align research focuses with the Amazons strategic needs. We look for individuals who know how to deliver results and show a desire to develop themselves their colleagues and their career.

About the team
Fulfillment Planning & Execution Science team contains a group of scientists with different technical backgrounds including Operations Research and Machine Learning who will collaborate closely with you on your projects. Our team directly supports critical functional areas across Fulfillment Optimization and the research needs of the corresponding product and engineering teams. We tackle some of the most mathematically complex challenges in facility and transportation planning and execution to improve Amazons operational efficiency worldwide and at a scale that is unique to Amazon. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges. We disambiguate complex supply chain problems and create solutions to solve those problems at scale.

- 5 years of applied research experience
- Experience programming in Java C Python or related language
- 5 years of industry or academic research experience
- Ph.D. in Operations Research Statistics Applied Mathematics Engineering Computer Science or related field
- 5 years of mathematics optimization such as linear programming and nonlinear optimization experience
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
- Knowledge of problem solving algorithm design and complexity analysis

- Experience in building machine learning models for business application
- PhD in operations research applied mathematics theoretical computer science or equivalent or PhD or equivalent research experience and 10 years of building machine learning models or developing algorithms for business application experience

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 167100.00 - 226100.00 USD annually