Amazon’s Kindle is the world’s most beloved reading service. We set audacious goals and are looking for people who can help us reach and exceed them. Our team's stated missions is to " generates actionable insights and deploy techniques to make every Kindle visit a delightful experience for the reader ". Recommendations at Kindle is a way to help customers discover next great read. Our team strives to better understand how customers read and shop on Kindle and build recommendations models to streamline customers' shopping experience by showing the right books at the right time. The successful candidate will have an established background in developing customer-facing experiences, a strong technical ability, a start-up mentality, excellent project management skills, and great communication skills. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
· MS in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 5+ years of hands-on experience in predictive modeling and analysis · 4+ years hands-on experience programming in R, Java, C#, C++ or other similar programming languages · Proficiency in model development, model validation and model implementation for large-scale applications · Strong communication and data presentation skillsThe ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, or a related quantitative field, and 7+ years of relevant work experience, including: