Amazon's Demand Forecasting Science team is at the forefront of machine learning innovation. As a Data Scientist, you'll join a team of accomplished scientists to develop foundation models for time series forecasting, driving over $200M in weekly inventory decisions and informing core business decisions from supply chain optimization to labor planning. Our team has a strong track record of internal and external publications, fostering an environment where scientific excellence meets real-world impact at unprecedented scale.
We encourage exploration of new ideas and tackle complex problems that advance both Amazon's capabilities and the broader field of forecasting science. For scientists passionate about machine learning and AI, our team offers a dynamic environment to make significant contributions while working alongside experts in the field.
Key job responsibilities
* Design, implement, and evaluate innovative deep learning techniques to drive accuracy improvement
* Utilizing code (Python, R, Scala, SQL etc.) for analyzing data and building statistical and deep learning models
* Collaborate with a team of experienced scientists to drive technological advancements.
* Develop innovative solutions to complex business problems in collaboration with partner teams.
* Contribute to Amazon's global science community through collaboration and publication of pioneering research
* Engage in research projects that contribute to the wider scientific community, sharing findings through publications in top-tier journals and conferences.
A day in the life
Your role will involve analyzing billions of rows of data using distributed computing systems, conducting statistical analyses, and implementing novel deep learning models to improve forecast accuracy. You'll work closely with partner teams to understand how our predictions influence broader supply chain decisions, focusing research efforts on areas that most impact Amazon's bottom line. You'll stay current with the latest developments in forecasting and AI research to drive model innovations. You will be responsible for clearly communicating complex insights and recommendations to both technical and non-technical stakeholders, helping drive innovation across the organization.
