Sr. Manager, Applied Science, Supply Chain Optimization Technologies
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 196900 - 340300
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
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 Amazons Stores business Come and join us!
Supply Chain Optimization Technologies (SCOT) owns Amazons global inventory planning systems. We decide what when where and how much we should buy to meet Amazons business goals and to make our customers happy. We decide how to place and move inventory within Amazons fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: are seeking a Sr. Manager of Applied Science with expertise in Statistical Machine Learning and/or Reinforcement Learning to drive research development and deployment of AI technology that empowers SCOT to build run and continuously improve the worlds most efficient supply chain. To achieve this goal we accelerate ML / RL software adoption through our partnerships and this role you will manage a team of scientists tasked researching the next generation of solutions to power buying placement and fulfillment decisions while translating customer needs into reusable software infrastructure that accelerates adoption and deployment.
Key job responsibilities
- Lead technical innovation in reinforcement learning applications for complex supply chain environments solving unique challenges and ensuring practical implementation in real-world deployments.
- Build and develop a high-performing team by fostering collaboration mentoring top talent and creating a balanced culture of technical excellence.
- Bridge technical possibilities with business requirements by providing strategic judgment evaluating technology feasibility and managing implementation risk.
- Drive cross-functional collaboration by interfacing with product teams leadership and partner organizations to translate business needs into technical solutions.
- Ph.D. in Computer Science Applied Mathematics Statistics or a closely-related field.
- Hands-on experience building machine learning or optimization models in a business environment.
- Demonstrated experience managing a science team for three or more years.
- Expertise in modern Python with applications of efficient large-scale data processing in complex systems.
- Ability to manage and quantify improvement in multiple business areas resulting from business analytics optimization techniques and/or statistical modeling.
- Prior experience managing senior scientists as well as a successful record of developing junior members from academia/industry to a successful career track in a business environment.
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Familiarity with inventory planning concepts - forecasting planning optimization and logistics - gained through work experience or graduate level education.
- Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to non-experts.
- Proven ability to work effectively in a cross-functional team.
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 $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 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.
Supply Chain Optimization Technologies (SCOT) owns Amazons global inventory planning systems. We decide what when where and how much we should buy to meet Amazons business goals and to make our customers happy. We decide how to place and move inventory within Amazons fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: are seeking a Sr. Manager of Applied Science with expertise in Statistical Machine Learning and/or Reinforcement Learning to drive research development and deployment of AI technology that empowers SCOT to build run and continuously improve the worlds most efficient supply chain. To achieve this goal we accelerate ML / RL software adoption through our partnerships and this role you will manage a team of scientists tasked researching the next generation of solutions to power buying placement and fulfillment decisions while translating customer needs into reusable software infrastructure that accelerates adoption and deployment.
Key job responsibilities
- Lead technical innovation in reinforcement learning applications for complex supply chain environments solving unique challenges and ensuring practical implementation in real-world deployments.
- Build and develop a high-performing team by fostering collaboration mentoring top talent and creating a balanced culture of technical excellence.
- Bridge technical possibilities with business requirements by providing strategic judgment evaluating technology feasibility and managing implementation risk.
- Drive cross-functional collaboration by interfacing with product teams leadership and partner organizations to translate business needs into technical solutions.
- Ph.D. in Computer Science Applied Mathematics Statistics or a closely-related field.
- Hands-on experience building machine learning or optimization models in a business environment.
- Demonstrated experience managing a science team for three or more years.
- Expertise in modern Python with applications of efficient large-scale data processing in complex systems.
- Ability to manage and quantify improvement in multiple business areas resulting from business analytics optimization techniques and/or statistical modeling.
- Prior experience managing senior scientists as well as a successful record of developing junior members from academia/industry to a successful career track in a business environment.
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Familiarity with inventory planning concepts - forecasting planning optimization and logistics - gained through work experience or graduate level education.
- Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to non-experts.
- Proven ability to work effectively in a cross-functional team.
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 $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 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:
Manager
Key Skills
- Inventory Control
- Procurement
- SAP
- Supply Chain Experience
- SAP Supply Chain Management
- Production Planning
- Supplier Management
- ERP Systems
- Materials Management
- Logistics
- Manufacturing
- MRP
About Company
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