Senior Applied Scientist, EU Advanced Technology Solutions Science and Technology

Have you ever wondered how Amazon reliably delivers hundreds of millions of packages to customer’s doorsteps in a timely manner? Are you passionate about data and mathematics, and strive to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to complex problems? If so, we eagerly await your application! Amazon Transportation Services is hiring Applied (or Research) Scientists. As a crucial member of the central Research Science Team of ATS operations, these personnel will have the responsibility of designing algorithmic solutions for optimizing Amazon's middle-mile transportation network, based on data and mathematics. The job is located at the EU Headquarters in Luxembourg (or alternatively: Barcelona, Berlin or London), designed to facilitate interaction with the team and stakeholders, but applicants with remote work requirements will also be considered. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes to tackle real-world problems in Amazon's middle-mile operations. Lead complex, time-bound, long-term as well as ad-hoc analyses to assist decision making. Communicate to leadership the results from business analysis, strategies and tactics. A day in the life You'll brainstorm algorithmic approaches with team members to solve complex problems for Amazon's middle-mile operations. You'll develop and test prototype solutions using these algorithmic techniques. You'll find information from the sea of Amazon data to improve these solutions. You'll meet with other scientists, engineers, stakeholders and customers to enhance the solutions and ensure their adoption. About the team The Science and Tech team of ATS EU seeks candidates looking to impact the world with their mathematical and data-driven skills. ATS stands for Amazon Transportation Service; we are the middle-mile planners who deliver packages from warehouses to cities within a tight timeframe to enable the “Amazon experience”. As the core research team, we partner with ATS business to support decision-making in an increasingly complex eco-system of a data-driven supply chain and an e-commerce giant. We schedule more than 1 million trucks with Amazon shipments annually. Our algorithms play a vital role in reducing CO2 emissions, protecting sites from being overwhelmed during peak times, and ensuring customer satisfaction. Our mathematical algorithms provide confidence to leadership to invest in programs worth several hundred million euros annually. But most importantly, we enjoy solving real-world problems at real-world speed, learning through trial and error. Basic Qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science, or a related field focusing on algorithms and data (or equivalent experience). Outstanding written and verbal communication skills. Experience in a programming language such as Java, Python, or C++. Research experience in one or more of the following areas: Combinatorial optimization problems (for instance, scheduling, vehicle routing, facility location). Continuous optimization problems (for instance, linear programming, convex programming, non-convex programming). Predictive analytics (for instance, forecasting, time-series, neural networks) Prescriptive analytics (for instance, stochastic optimization, bandits, reinforcement learning). Preferred Qualifications Experience working in a fast-paced applied research environment. Ability to handle ambiguity. Top-tier publications relevant to the field of study. Amazon is an equal opportunities employer. We strongly believe that employing a diverse workforce is central to our success. Recruiting decisions are taken based on your experience and skills. We value your passion to discover, invent, simplify, and build. The protection of your privacy and the security of your data is a priority for Amazon. You're invited to read our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to learn more about how we collect, use, and transfer the personal data of our candidates.