Why This Role Stands Out
Advance your career by shaping the future of Amazon's global strategic sourcing systems, leveraging cutting-edge optimization and machine learning to drive significant impact on supply chain costs and vendor experience. You'll thrive in this hybrid role if you possess expertise in inventory control, reinforcement learning, and a passion for solving complex, large-scale problems within a collaborative, cross-functional team.
Quick Overview
Job Description
- Set the scientific strategic vision for the team. Lead problem decomposition and roadmap development.
- Identify and frame research challenges in ambiguous problem areas; invent novel methodologies to address them. Distinguish between problems requiring novel solutions versus those addressable with existing approaches.
- Exercise sound judgment to prioritize between short-term vs. long-term and business vs. technology needs.
- Set an example with exemplary scientific analyses; maintainable, well-tested code; and simple, effective solutions.
- Drive the design of scientifically-complex software solutions, personally writing critical-path code that embodies scientific novelty. Deploy novel models into production with a track record of impactful delivery.
- Develop reusable science components that resolve architecture deficiencies; set standards and drive adoption of state-of-the-art techniques.
- Influence team business and engineering strategies. - Communicate effectively with stakeholders to drive alignment and build consensus.
- Foster collaborations between scientists across Amazon researching similar problems. Proactively resolve endemic issues where the team's technologies bottleneck other teams.
- Actively engage in the development of others, both within and outside the team.
- Participate in the science hiring process and engage with the broader scientific community through publications, presentations, and patents.
BASIC QUALIFICATIONS
- 5+ years of applied research experience- PhD in operations research, applied mathematics, theoretical computer science, plus 5+ years industry experience
- Knowledge of supply chain management, inventory control, stochastic optimization
- Proven track record of launching novel scientific solutions in highly ambiguous domains — from problem formulation through research, prototyping, and production deployment
- Proficiency in coding (e.g., Python) with experience developing production-quality scientific software
- Technical depth in one or more of: mathematical optimization, causal inference, stochastic modeling, or sequential decision-making
PREFERRED QUALIFICATIONS
- Publication record in operations research, machine learning, or a related quantitative field- Experience designing and analyzing experiments in operational or supply chain settings
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) 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 you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .
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