Applied Scientist, Modeling and Optimization (MOP)

Do you enjoy solving complex problems, driving research innovation, and creating insightful models that tackle real-world challenges? Join Amazon’s Modeling and Optimization team. Our science models and data-driven solutions continuously reshape Amazon global supply chain – one of the most sophisticated networks in the world.

Key job responsibilities
In this role, you will use science to drive measurable improvements across customer experience, network speed, cost efficiency, safety, sustainability, and capital investment returns. You will collaborate with scientists to solve complex problems and with cross-functional teams to analyze systems and drive business value. You will develop optimization, simulation, and predictive models to identify improvement opportunities. You will develop innovative, scalable solutions. You will quantify expected improvements and evaluate trade-offs between competing objectives. You will communicate model insights to stakeholders and influence positive changes in Amazon’s systems and operations.

A day in the life
Collaboration will be key – you will collaborate with scientists to design end-to-end solutions, work with business stakeholders to simplify and streamline processes, and partner with engineers to simplify systems and enhance their performances. The focus is on driving value through scientific thinking, technical knowledge, simplification, and cross-functional teamwork.

About the team
Our team of scientists specializes in network modeling, optimization, algorithms, control theory, machine learning and related disciplines. Our focus is driving supply chain improvements through applied science. By analyzing data and building insightful models, we identify opportunities and influence positive change across Amazon’s end-to-end systems and operations – from vendors to customers.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

– Advanced degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field

Preferred Qualifications

– Experience building machine learning models or developing algorithms for business application

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,100/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.