Senior Manager Applied Science Supply Chain Optimization Technologies - Optimal Sourcing Systems
Senior Manager Applied Science Supply Chain Optimization Technologies - Optimal Sourcing Systems
Posted on :
12-04-2025
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1 Vacancy
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Job Description
Amazon is looking for a Senior Applied Science Manager to help build the next generation of buying systems. The Optimal Sourcing Systems (OSS) owns the optimization of inventory sourcing and the orchestration of inbound flows from vendors worldwide. We source inventory from thousands of vendors for millions of products globally while orchestrating the inbound flow for billions of units. Our goals are to increase reliable access to supply improve supply chaindriven vendor experience and reduce endtoend supply chain costs all in service of maximizing LongTerm Free Cash Flow (LTFCF) for Amazon. As an Applied Scientist you will work with software engineers product managers and business teams to understand the business problems and requirements distill that understanding to crisply define the problem and design and develop innovative solutions to address them. Our team is highly crossfunctional and employs a wide array of scientific tools and techniques to solve key challenges including optimization causal inference and machine learning/deep learning. Some critical research areas in our space include modeling buying decisions under high uncertainty vendors behavior and incentives supply risk and enhancing visibility and reliability of inbound signals.
Key job responsibilities
7 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
10 years of industry experience applying scientific methods to solve complex business problems
PhD and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
4 years managing science teams
Experience in delivering production grade ML/AI solutions at scale.
Proven ability to collaborate crossfunctional with teams including engineering product and business stakeholders.
Excellent written and verbal communication skills with the ability to influence technical and nontechnical audiences.
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.
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 $196900/year in our lowest geographic market up to $340300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Key job responsibilities
7 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
10 years of industry experience applying scientific methods to solve complex business problems
PhD and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
4 years managing science teams
Experience in delivering production grade ML/AI solutions at scale.
Proven ability to collaborate crossfunctional with teams including engineering product and business stakeholders.
Excellent written and verbal communication skills with the ability to influence technical and nontechnical audiences.
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.
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 $196900/year in our lowest geographic market up to $340300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 Manager
Employment Type
Full-Time
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