Senior Applied Scientist, Modeling and Optimization (MOP) Team
Senior Applied Scientist, Modeling and Optimization (MOP) Team
Posted on :
22-06-2025
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1 Vacancy
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Job Description
Amazons Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and planning the most complex supply chain in the world.
The team is responsible for optimizing the global supply chain for and ensuring that the company is able to inbound goods from seller and vendors transport them to their target fulfillment center and deliver to our customers as quickly accurately and cost effectively as possible. We work on problems ranging from network design to assortment optimization in order to support strategic decisions. It is a terrific opportunity to have a direct impact in the business while pushing the boundaries of science.
Key job responsibilities
We are seeking an experienced scientist who has solid background in Operations Research Operations Management Applied Mathematics or other similar domain.
In this role you will develop models and solution algorithms that are innovative and scalable to solve new challenges in the network design and inventory management space. You will collaborate with other scientists across teams to create integrated solutions that improve fulfillment speed and minimize end-to-end cost. You have deep understanding of business challenges and will provide scientific analysis to support business decision using a range of methodologies. You will also work with engineering teams to identify new data requirements deploy new models or simplifying existing processes.
About the team
PhD in operations research applied mathematics theoretical computer science or equivalent
- 5 years of industry or academic research experience
- Experience programming in Java C Python or related language
- Experience with conducting research in a corporate setting
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
The team is responsible for optimizing the global supply chain for and ensuring that the company is able to inbound goods from seller and vendors transport them to their target fulfillment center and deliver to our customers as quickly accurately and cost effectively as possible. We work on problems ranging from network design to assortment optimization in order to support strategic decisions. It is a terrific opportunity to have a direct impact in the business while pushing the boundaries of science.
Key job responsibilities
We are seeking an experienced scientist who has solid background in Operations Research Operations Management Applied Mathematics or other similar domain.
In this role you will develop models and solution algorithms that are innovative and scalable to solve new challenges in the network design and inventory management space. You will collaborate with other scientists across teams to create integrated solutions that improve fulfillment speed and minimize end-to-end cost. You have deep understanding of business challenges and will provide scientific analysis to support business decision using a range of methodologies. You will also work with engineering teams to identify new data requirements deploy new models or simplifying existing processes.
About the team
PhD in operations research applied mathematics theoretical computer science or equivalent
- 5 years of industry or academic research experience
- Experience programming in Java C Python or related language
- Experience with conducting research in a corporate setting
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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