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Are you interested in creating a large business impact on millions of customers through the use of machine learning?We are seeking an Applied Scientist to join our PriMA (Prime & Marketing) science team to work on developing state-of-the-art solutions to model customer behavior, improve the engagement of our existing customers, and help us grow our customer base.In this role, you will collaborate with cross-functional teams and stakeholders to solve problems, and you will regularly interact with software engineering teams and business leadership.Some of the scientific and technical challenges you will tackle in this role are:Modeling customer dynamics and how customer behavior changes over time. Building recommender systems that can nudge customers and engage them with our products and offers. Measuring marketing campaigns across external marketing channels (Youtube, TikTok, Google,....) Modeling the causal impact that some actions have over customers.Key job responsibilities:Develop accurate and scalable machine learning models to address business use cases ranging from: modeling customer behavior, causal inferencing to model the value of customer incentives, recommender systems to increase customer engagement, or modeling and measurement marketing channels. Lead and partner with engineering teams to drive modeling and technical design for complex business problems, often guiding engineers to apply the best scientific practices in software development. Lead complex modeling analyses to help management and business stakeholders make key business decisions.About the team: The PriMA (Prime & Marketing) science team supports the science needs of the EU Prime and Marketing organization, which supports the Prime and Marketing programs in European marketplaces and comprises 250-300 employees.The science team is part of a larger tech team of 50 people (comprising other job families like SDEs or BIEs) that provides support to all the tech needs of the Prime & Marketing org.Minimum Requirements: - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business applications - Experience using Unix/Linux - Experience in professional software developmentAmazon 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 (know more about how we collect, use and transfer the personal data of our candidates.#J-18808-Ljbffr