SDE II, Economic Decision Science

Job description

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, including ML and LLM capabilities, to scale innovative science products.

* Collaborate with economists to shape technical project requirements and direction.

* Be a technical leader that is not afraid to challenge the norms and innovate.

* Continually improve our systems and improve iteration speed, for yourself or others.

* Contribute to long-term strategy for data infrastructure, best practices, and operational excellence.

* Dive deep into our tools to make well-informed integration and architecture decisions.

About the team

* AWS resources at our disposal, with no red tape. We invest to add value. Fast.

* Zero-ops mindset. We build in a way we can focus on delivery, not maintenance.

* No on-call. No phone paging.

* Lean and pragmatic: No stand-ups or sprints; we work towards clear, business-aligned quarterly goals.

* Greenfield projects and a focus on simple solutions for complex domains.