Sr. Machine Learning Scientist Amazon
Seattle, WA

Job Description

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 & 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 & Analytics for Kindle Content, and is based in Seattle, WA.

Your work will directly impact customer experience and business results by, for example, making Kindle customer communications more relevant, timely, and personalized, helping customers get the most out of their Kindle experience, whether it is discovering their next favorite book or finding a great deal on a book they always wanted to read. In addition to capturing customer behavior data signals (e.g. reading/buying/browsing behavior), you will focus on unlocking the power of the information captured in the text and images in individual books

You will be responsible for using reading, buying, browsing, text and image data to build a set of predictive models/algorithms that will sit at the heart of Kindle Content marketing systems, and partner with software development engineers on turning your models/algorithms into scalable products that deliver great customer experiences.