Are you excited about building optimization models that directly impact how millions of packages reach Amazon customers faster and at lower cost? The SCOT Planning Optimization team is looking for a Data Scientist I to help shape the future of supply chain planning at Amazon.
In this role, you will develop and enhance mathematical optimization models that generate the volume plan for North American network -determining how much inventory flows where, when, and how across hundreds of sites. Your work will focus not only on making these models optimal, but also explainable-ensuring stakeholders can understand and trust the decisions being made. You will build network plan simulations to evaluate scenarios and stress-test planning strategies before they go live.
You'll be working at the frontier of Agentic and Generative AI, building intelligent agents that automate planning workflows and make complex model outputs interpretable to human operators. You'll partner with other science teams on researching new optimization techniques such as the Consensus Planning Protocol, and collaborate with Software Engineering to productionalize models on AWS infrastructure. This is a high-impact role where your work will directly influence delivery speed and cost to serve for every Amazon customer in North America.
Key job responsibilities
- Develop and maintain optimization models that generate volume plans for the North America fulfillment network, balancing constraints such as labor capacity, storage limits, transportation costs, and demand forecasts
- Build Agentic AI and GenAI applications that make model outputs explainable and actionable for planners, translating complex optimization decisions into clear, human-interpretable insights
- Design and implement Agentic AI-driven planning process automation to reduce manual intervention and accelerate planning cycles
- Leverage Agentic AI to run network plan simulations, identify further optimization opportunities, and surface recommendations for improved network performance
- Design and maintain metrics and frameworks to track, evaluate, and continuously improve optimal network performance
- Partner with other science teams on researching new optimization / explainability techniques
- Collaborate with the Software Engineering team to deploy and monitor models on AWS infrastructure
- Conduct data analysis to identify improvement opportunities in supply chain planning processes, quantifying impact with data and anecdotes
- Develop automated reporting and data pipelines to track model performance and planning outcomes across the network
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!
BASIC QUALIFICATIONS
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
- Experience implementing algorithms using both toolkits and self-developed code
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
PREFERRED QUALIFICATIONS
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience working with or evaluating AI systems
- Experience with AWS Solutions, including EC2, S3, Redshift, EMR (or Hadoop)
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 https://amazon.jobs/en/benefits.
USA, NY, NEW YORK - 119,200.00 - 178,400.00 USD annually
USA, NY, New York - 119,200.00 - 178,400.00 USD annually
USA, NY, New York City - 119,200.00 - 178,400.00 USD annually
