.Applied Scientist Manager, EU InTech, Item Data Quality (IDQ)DESCRIPTIONAt Amazon, we are committed to being the Earth's most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon's cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.You will be joining the Tools and Machine Learning (Tamale) team. As part of InTech, Tamale strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to cutting-edge big data and machine learning technologies, along with all Amazon catalog technology stack, and you'll be part of a key effort to improve our customers' experience by tackling and preventing defects in items in Amazon's catalog.We are looking for a passionate, talented, and inventive Applied Scientist Manager (ASM) with a strong machine learning background and people development skills. As an ASM, you will lead a team of scientists, guiding projects impacting Amazon's catalog WW. You will coach your team's work and professional growth, partnering closely with a strong engineering team to productionalize your solutions.We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.Key Job ResponsibilitiesWe look for applied scientists managers who possess a wide variety of skills. As the successful applicant for this role, you will work closely with your business partners to identify opportunities for innovation. You will lead a team to apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality, to name just a few. You will work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable distributed services. You will lead a team of scientists and work closely with an engineering team to solve data quality issues at scale. You will be able to influence the scientific roadmap of the team, setting the standards for scientific excellence. You will be working with state-of-the-art models, including image-to-text, LLMs, and GenAI.Your work will improve the experience of millions of daily customers using Amazon in Europe and other regions. You will have the chance to make a significant customer impact and continue growing in one of the most innovative companies in the world.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience