Applied Scientist, NA Stores Expansion

Amazon brings buyers and sellers together. Our retail customers depend on us to give them access to every product at the best possible price. Our sellers depend on us to give them a platform to launch their business into every home and marketplace. Making this happen is the mission of every scientist in North America Stores (NAS) organization.

To this end the Science team is tasked with:
Building and deploying AI / ML models and LLM-powered systems that lead to hundreds of millions in business impact across supply chain optimization customer engagement and cultural relevance at Amazon scale
Partnering with product teams in evaluating the financial and operational impact of new product offerings.
Partnering with science teams across other organizations to develop state of the art algorithms and models.
Carrying out independent data-backed initiatives that can be leveraged later on in the fields of network organization and financial modeling of processes.
Publishing papers in both internal and external conferences / journals.

In order to execute the above mandate we are on the look out for smart and qualified Applied Scientists who will own projects in partnership with product and research teams as well as operate autonomously on independent initiatives that are expected to unlock benefits in the future. Our team builds science-backed systems that directly influence vendor negotiations forecasting buying product discovery for secondary language customers and inventory management for North Americas retail business.

Key job responsibilities
As an Applied Scientist you are able to use a range of artificial intelligence and operations research methodologies to solve challenging business problems when the solution is unclear. Key responsibilities include:
Develop workflows that combine ML models with optimization engines similarity search and human-in-the-loop capabilities to automate complex business processes
Build scalable data and inference pipelines using AWS services (SageMaker Bedrock FAISS Andes) to process 100M ASINs and serve real-time predictions in production
Design and execute rigorous experimentation frameworks including weblabs IPC labs and causal inference methods to validate model impact and drive launch decisions
Collaborate cross-functionally with engineering product and business teams to translate ambiguous business problems into well-scoped science solutions with clear success metrics


- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- Usage of generative AI tools to enhance workflow efficiency with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products workflows or customer experiences.

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.

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 WA Seattle - 142800.00 - 193200.00 USD annually