AppliedScientist

AWS Central Economics and Science is looking for an applied optimization scientist to join the Capacity Economics team. This scientist will work at the intersection of economics and optimization, contributing to projects that span both the Capacity Economics team and the EC2 Optimization Science team within the EC2 Capacity Org. The Capacity Economics team is a small, applied-solutions-focused group of economists and scientists focused on lowering AWS' cost-to-serve through science-based models, analyses, and insights. Our work spans pricing design, capacity allocation, and infrastructure economics—problems that require both rigorous quantitative methods and a deep understanding of how markets and incentives shape outcomes. The candidate will work on a portfolio of projects that include optimizing internal prices for compute resources and working across Finance, Engineering, and Capacity stakeholders to design mechanisms that align incentives and reduce costs. The role will also engage with the infrastructure organization, including Amazon Cloud Logistics, to support the efficient transit and deployment of server rack builds. Key job responsibilities On the EC2 Optimization Science (EC2-OptSci) side, the candidate will contribute to the design, implementation, and scaling of decision-making algorithms that manage EC2's virtual and physical capacity systems. EC2 Capacity owns EC2's top-level customer satisfaction metric—capacity availability—and the forecasting and decision-making systems that drive significant CapEx investments in server ordering for AWS data centers. Optimization Science is a core team involved in the end-to-end design and implementation of decision-making systems that manage the trade-off between CapEx and capacity availability while matching demand and supply at different planning horizons. The candidate will participate in science and engineering reviews with the Optimization Science team and will be expected to contribute to the rigor and quali