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Sr. Research Scientist Kindle Content

Company name, Inc.

Seattle, WA

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Job DescriptionAt Amazon, we're always working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a customer-focused Sr. Research Scientist who is interested in impacting key business decisions and customer experiences for one of Amazon\u2019s key business verticals, Kindle Content. We need your passion, innovative ideas, and creativity to help us deliver on our ambitious goals. As a Sr. Research Scientist you will be a key member of the Kindle Content Data Science team, which includes applied ML scientists, research scientists, economists, business analysts, data engineers and business intelligence engineers. Additionally, you will participate in the broader Amazon ML community and have access to the \u2018Best of Amazon\u2019 in computing, science, data, technology, innovation and thought leadership. This role will report into the Global Head of Data Science and BI for Kindle Content, and is based in Seattle, WA. Your work will directly impact business results by improving aspects of customer experience such as pricing, promotions, and product selection for various Kindle Content initiatives/programs. You will use reading, buying and browsing data to understand customer needs and turn that understanding into recommendations driven by ML and/or causal modeling techniques. You will work closely with business stakeholders and software development engineers to turn the models/algorithms into scalable products that deliver great customer experiences.
Basic Qualifications· M.S. in Mathematics, Statistics, Economics, Machine Learning, or a related quantitative field · 3 years of hands-on experience in predictive modeling, algorithm development and big data analytics · Experience with Python, R, or similar scripting language, as well as SQL or Scala for data manipulation
Preferred Qualifications· PhD in Mathematics, Statistics, Economics, Machine Learning, or a related quantitative field · Significant peer reviewed scientific contributions in relevant field. · Extensive experience applying theoretical models in an applied environment. · Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods. · Strong fundamentals in problem solving, and model design. · Strong personal interest in learning, researching, and creating new technologies with high commercial impact. · Strong communication and data presentation skills. Amazon is an Equal Opportunity-Affirmative Action Employer \u2013 Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Company info, Inc.
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Company Profile
Amazon, a Fortune 500 company based in Seattle, Washington, is the global leader in e-commerce. Since Jeff Bezos started Amazon in 1995, we have significantly expanded our product offerings, international sites, and worldwide network of fulfillment and customer service centers. Today, Amazon offers everything from books and electronics to tennis rackets and diamond jewelry. We operate sites in Canada, China, France, Germany, Italy, Japan, Spain and United Kingdom and maintain dozens of fulfillment centers around the world which encompass more than 26 million square feet.

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