Sr. Manager, Applied Science, Supply Chain Optimization Technologies
Job ID: 3137353 | Amazon.com Services LLC
We 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 world's most efficient supply chain. To achieve this goal, we accelerate ML / RL software adoption through partnerships and infrastructure. You will manage a team of scientists tasked with 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.
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.
Basic Qualifications
- 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.
Preferred Qualifications
- Ability to manage and quantify improvement in multiple business areas resulting from business analytics, optimization techniques, and/or statistical modeling.
- Experience managing senior scientists and 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 education.
- Superior verbal and written communication and presentation skills, with the ability to convey rigorous mathematical concepts to non-experts.
- Proven ability to work effectively in a cross-functional team.
EEO and Benefits
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Base salary range and total compensation details are provided during the offer process. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D, optional supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement), 401(k) matching, paid time off, and parental leave. Learn more about benefits at https://amazon.jobs/en/benefits.
Location: USA, NY, New York. Salary range: 240,600.00 – 325,500.00 USD annually.
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