Amazon
Principal Research Scientist, Supply Chain Optimization Technologies - Optimal S
Amazon, New York, New York, us, 10261
Principal Research Scientist, Supply Chain Optimization Technologies - Optimal Sourcing Systems
Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Research Scientist to join our Optimal Sourcing Systems team. 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 access to supply for speed and placement, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon.Your tech solution will have large impacts on the physical supply chain of Amazon and play a key role in improving Amazon consumer business’s long-term profitability. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.Key job responsibilities
Design, implement and evaluate models, agents and software prototypes.Technical leadership for a group of highly motivated and talented scientists.Influence team business and engineering strategies.Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business.Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.Raise the bar of scientific research by innovating and publishing.Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.A day in the life
In this role, you will have the opportunity to work with partners and stakeholders from Amazon’s retail, seller, and operation departments worldwide. You will understand their challenges and pain points, and help develop solutions that improve how Amazon sources inventory and enable world-class vendor experiences. To implement your solutions, you will work closely with our product and engineering teams. Your work will have high visibility and impacts on Amazon’s business operations.About the team
Supply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide.Minimum Qualifications
Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks.7+ years of hands-on experience in building machine learning or optimization models in a business environment.Proven track in leading, mentoring, and growing teams of scientists.Have research/industrial experience of inventory/supply chain optimization.Have experience working with simulation systems.Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research.Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience.Have production coding experience in one of the object-oriented programming languages such as Java, Python, C++, etc.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 $170,500/year in our lowest geographic market up to $294,700/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.
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Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!The Supply Chain Optimization Technologies (SCOT) group is seeking a Principal Research Scientist to join our Optimal Sourcing Systems team. 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 access to supply for speed and placement, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon.Your tech solution will have large impacts on the physical supply chain of Amazon and play a key role in improving Amazon consumer business’s long-term profitability. You will work on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.Key job responsibilities
Design, implement and evaluate models, agents and software prototypes.Technical leadership for a group of highly motivated and talented scientists.Influence team business and engineering strategies.Work closely with partner teams to develop solutions to ambiguous business problems and integrate novel methodology into our team and business.Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.Raise the bar of scientific research by innovating and publishing.Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.A day in the life
In this role, you will have the opportunity to work with partners and stakeholders from Amazon’s retail, seller, and operation departments worldwide. You will understand their challenges and pain points, and help develop solutions that improve how Amazon sources inventory and enable world-class vendor experiences. To implement your solutions, you will work closely with our product and engineering teams. Your work will have high visibility and impacts on Amazon’s business operations.About the team
Supply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide.Minimum Qualifications
Ph.D. in Operations Research, Operations Management, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field.7+ years of experience in solving complicated problems in the area of Operations Management or similar disciplines developing strategies for large-scale logistic networks.7+ years of hands-on experience in building machine learning or optimization models in a business environment.Proven track in leading, mentoring, and growing teams of scientists.Have research/industrial experience of inventory/supply chain optimization.Have experience working with simulation systems.Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research.Excellent written and verbal communication skills with technical and business people; ability to speak at a level appropriate for the audience.Have production coding experience in one of the object-oriented programming languages such as Java, Python, C++, etc.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 $170,500/year in our lowest geographic market up to $294,700/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.
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