ph3Description /h3 pAt 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. /p pAt 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. /p pWe 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. /p h3Key job responsibilities /h3 ul liSolve complex optimization and machine learning problems using scalable algorithmic techniques. /li liApply modern AI methods,



including generative and foundation models, to improve optimization, forecasting, and automated decision making across the supply chain. /li liDesign and develop efficient research prototypes that address real-world problems across Amazon’s end-to-end supply chain operations. /li liLead complex time-bound, long-term as well as ad-hoc analyses to assist decision making. /li liCommunicate to leadership results from business analysis, strategies and tactics, including how AI-driven approaches change the way decisions are made. /li /ul h3A day in the life /h3 pThe role will own the approval from senior functional leaders to enable strategies that improve processes and performance across the supply chain. You will be a natural self-starter who is comfortable supporting complex cross functional projects and action plans. You will have a true hands-on approach, the ability to generate solutions, strong process management skills, and be an effective communicator. /p h3Basic Qualifications /h3 ul liPhD, or a Master’s degree and experience in CS, CE, ML or related field /li liExperience in building models for business application /li liExperience in patents or publications at top-tier peer-reviewed conferences or journals /li liExperience programming in Java, C++, Python or related language /li liExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing,



high-performance computing /li /ul h3Preferred Qualifications /h3 ul liDetailed knowledge of optimization methods including linear and mixed-integer programming, network modeling, constraint programming, approximation algorithms, and advanced heuristic techniques. /li liExpertise on MIP strategies to customize and leverage commercial solvers and adapt them as required. /li liDetailed knowledge of forecasting techniques with time-series tools, including ARIMA models, exponential smoothing, LSTM, and CNNs. /li liExpertise on policy optimization techniques, including reinforcement learning, deep Q-learning, bandits, and online optimization. /li liExperience applying modern AI methods, such as large language models, generative AI, and foundation models, to optimization, forecasting, or automated decision-making problems. /li liExperience integrating machine learning and optimization to drive planning and execution decisions across an end-to-end supply chain. /li /ul pAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates. /p pOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pbCompany /b - Amazon EU SARL (Spain Branch)br/Job ID: A /p /p #J-18808-Ljbffr

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