Economic Decision Science is Amazon’s Central Economics team in Europe. Our goal is to improve outcomes for customers by optimizing and automating business decisions. We work at the intersection of Economics, Machine Learning, Statistics, and Data Engineering, a highly engaging space where ideas directly shape how our stores operate and evolve.
We are a high-impact, autonomous, cross-functional team (Economists / Engineers / Product Managers ) focusing on long-term, ambiguous and challenging problems. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. Our charter is company-wide, so we frequently collaborate with business, tech and science stakeholders across Europe and globally.
As an SDE, you’ll help us build our Factory of Economics, where economists can operate independently and in parallel, unconstrained by tech bottlenecks or engineering bandwidth. The goal: no software rewrites, predictable time to production, early integration, and fast iteration. You’ll work with tools such as DBT, Python, Apache Airflow, Spark, Iceberg; AWS services like Lambda, Bedrock, and SageMaker, containers, and whatever adds the most value.
You’ll design tools that are simple, semantic, and scalable. As you gain familiarity with the domain, you’ll help define and lead the technical direction of economic projects. Key job responsibilities * Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools