Applied Scientist II, Strategic Account Services (SAS)

Amazon Strategic Account Services (SAS) Tech Organization is looking for an Applied Scientist Applied Scientist who can autonomously drive scientific innovations from research to production developing sophisticated AI solutions that serve both Amazons global seller base and internal Marketplace Consultants. Working in a highly collaborative environment youll leverage expertise in machine learning operations research and statistics to translate theoretical advances in LLMs probabilistic modeling and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement bridging cutting models with real-world applications while maintaining scientific rigor and measurable business impact.

Key job responsibilities
- Lead the development of sophisticated AI solutions leveraging deep learning LLMs and advanced machine learning techniques to transform both seller operations and internal consultancy capabilities at scale
- Define and drive long-term scientific vision for the organization translating complex business challenges into innovative technical solutions that advance the state-of-the-art in applied machine learning
- Design and implement advanced ML architectures combining multiple learning paradigms - from reinforcement learning and causal inference to predictive modeling - to tackle critical marketplace challenges
- Architect next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale
- Drive end-to-end development of AI applications from research through production collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact
- Pioneer novel applications of foundation models and generative AI developing sophisticated evaluation frameworks while maintaining Amazons high standards for accuracy and reliability
- Lead technical discussions across organizational boundaries effectively communicating complex scientific concepts to diverse stakeholders while staying at the forefront of ML/AI research advancements


About the team
What is Amazon Strategic Account Services (SAS)
The SAS team aims to accelerate the full potential of our Sellers helping them to navigate the increasing complexity of the e-commerce space. Our team provides in-depth strategic consultancy using a data-driven collaborative and a Customer-focused approach to achieve commercial goals of Amazon Sellers.

- PhD or a Masters degree and experience in building models for business application
- Experience programming with at least one modern language such as Java C or C# including object-oriented design
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience with training and deploying machine learning systems to solve large-scale optimizations

- Experience developing deploying and managing AI products at scale
- Track record of investigating designing and delivering innovative ML solutions that drive significant business impact

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

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.