Description

Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.
At Amazon, we are working to be the most customer-centric company on earth, where customers can find and discover anything they might want to buy online. Our Supply Chain organization spans the entire Amazon fulfillment network, from inventory placement and capacity planning through middle mile and last mile delivery. Our goal is to build a world class, end-to-end supply chain that exceeds the expectations of our customers by ensuring their orders are delivered as quickly, accurately, and cost effectively as possible.

We are now looking to hire a passionate, innovative and customer-obsessed candidate to support our end-to-end network planning and optimization across the Amazon supply chain. As an Applied Scientist, you will work with software engineers, product managers and business teams to understand the requirements and current challenges, distill that understanding to elegantly define the problem,



and develop innovative solutions that integrate planning and execution across the entire fulfillment pipe. A central part of this mission is harnessing recent advances in Artificial Intelligence, including machine learning, large language models, and generative AI, to transform how we optimize the network and make decisions at scale.

Key job responsibilities

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- Solve complex optimization and machine learning problems using scalable algorithmic techniques.
- Apply modern AI methods, including generative and foundation models, to improve optimization, forecasting, and automated decision making across the supply chain.
- Design and develop efficient research prototypes that address real-world problems across Amazon's end-to-end supply chain operations.
- Lead complex time-bound, long-term as well as ad-hoc analyses to assist decision making.
- Communicate to leadership results from business analysis, strategies and tactics, inc

📌 Applied Scientist on Artificial Intelligence and Optimization, EU LTP Science (Madrid)
🏢 Amazon Science
📍 Madrid