Senior Machine Learning Scientist at Amazon

Senior Machine Learning Scientist Details

Oct. 31, 2018, 3:51 a.m.
Machine Learning Science
Seattle, Washington
and Analytics team Sr. Applied Data
At 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. Applied Data Scientist who is interested in impacting key business decisions and customer experiences for one of Amazon’s key business verticals, Kindle Content. We need your passion, innovative ideas, and creativity to help us deliver on our ambitious goals. As a Sr. Applied Data Scientist, you will be a key member of the Kindle Content Science and Analytics team, which includes applied data 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 ‘Best of Amazon’ in computing, science, data, technology, innovation and thought leadership. This role will report into the Global Head of Demand Science and Analytics for Kindle Content, and is based in Seattle, WA. Your

· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 5+ years of hands-on experience in predictive modeling, algorithm development and big data analytics · Skills with Java, C++, or other programming language, as well as with Python, R, or similar scripting language·PhD in Mathematics, Statistics, 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
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