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Amazon Corporate LLC Senior Applied Scientist in Seattle, Washington

Do you want to be part of an innovative and rapidly growing business? Are you looking for a role with ownership and the ability to work across global teams to launch a product?AWS's Worldwide Revenue Operations Segmentation and Planning (WWRO S&P)team provides the technology, tools, and processes to support the rapidly growing world-wide AWS Sales organization. This includes finding inventive ways to scale the business, which will be critical for AWS to continue its incredible growth.The WWRO S&P team is looking for Senior Applied Scientist to play a significant part in leading a program to automate and scale annual sales planning, including customer segmentation, territory development, headcount assignment, and target setting. This Senior Applied Scientist will work hand in hand with product managers and operations teams to identify opportunities to provide intelligence and prediction to planning, goal tracking, segmentation, and resourcing to drive better decision making.The Senior Applied Scientist will need to dive deep with the development team to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products. This role requires an individual with excellent quantitative modeling skills and the ability to apply statistical/machine learning, econometric, and coding skills.The successful candidate will have a strong technical background, be highly collaborative, globally minded and have a high level of customer focus. You should be a motivated self-starter that works well with others in a dynamic, ambiguous environment. You should have excellent business, technical, and communication skills to be able to work across countries and markets, dev teams, and with business owners to define and deliver improvements.Location: Position may be based in Seattle, WA; Boston, MA; Arlington, VA; or Dallas, TX. Amazon will provide relocation assistance from within the US only to these locations.Applied Scientist Responsibilities:* Use machine learning and analytical techniques to create scalable solutions for business problems* Analyze and extract relevant information from large amounts of historical business data to help automate and optimize key processes* Design, development and evaluation of highly innovative models for predictive learning* Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation* Research and implement novel machine learning and statistical approaches* Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale* PhD in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field* 6+ years of hands-on experience in predictive modeling, analysis and applying ML to solve complex problems* Algorithm and model development experience for large-scale applications* Skills with Java, C++, or other programming language, as well as with SQL, R, MATLAB, Python or similar scripting language* 3+ years of experience in technical leadership roles; technical program management, systems architecture, or system development* 3+ years of experience with software development lifecycle from conception to delivery* 3+ years of project management experience and demonstrated knowledge of program management best practicesAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national

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