The SCOT-SIA (Science, Intelligence and Analytics) team is seeking an Applied Scientist III to lead the development and implementation of AI/ML models that will transform labor planning and execution across Amazon's Supply Chain operations. You will drive the scientific vision for next-generation intelligent automation systems that enhance decision-making, optimize resource allocation, and improve operational efficiency throughout our vast fulfillment networks across the world.

In this role, you will tackle intrinsically hard, previously unsolved problems in labor planning and execution. You will invent new scientific techniques and paradigms to address complex customer needs and business challenges at a product level. Your work will focus on developing and implementing state-of-the-art large language models, natural language processing, and generative AI solutions to create more intelligent, automated, and user-friendly systems that revolutionize how we plan and execute our operations.

We are looking for a passionate and experienced scientist who can lead and mentor a team, collaborate effectively across organizations, and drive innovation that delivers significant business impact. You will work closely with technical and business partners to translate complex scientific concepts into practical solutions that delight our customers and optimize our operations.


Key job responsibilities
* Lead the design, development, and implementation of novel AI/ML models and algorithms for labor planning, forecasting, and execution optimization
* Drive the scientific vision for intelligent automation systems, identifying key challenges and proposing innovative solutions that advance the state of the art
* Collaborate with cross-functional teams to integrate AI solutions into production systems, ensuring scalability, reliability, and performance
* Mentor junior scientists and engineers, fostering a culture of scientific excellence and innovation
* Influence product strategy and roadmaps through data-driven insights and scientific expertise
* Develop and implement responsible AI practices, including explainable AI techniques and ethical considerations
* Contribute to the broader scientific community through publications, patents, and conference presentations, when aligned with business objectives

About the team
SCOT SIA (Science, Intelligence, & Analytics) serves as the research, automation, and insight arm of the Planning & Execution team of NA Supply Chain org. SIA identifies technical gaps, analytical opportunities, and complex operational and planning trends within NACF, in order to action them strategically and sustainably.
SIA Science team is the science wing of SIA that specifically focuses on the creation, improvement, and automation of labor planning models and processes. This is achieved through AI and ML modeling, scientific analysis of existing processes, and optimization techniques. Science team partners with tech & non-tech partners to improve existing tech solutions and provide data driven recommendations for strategic model implementations.