Retail Category Management: Grocery, Household & Personal Goods
Seattle, Washington
Seattle! Come join
Amazon is now hiring applied scientists in Seattle! Come join our dynamic team in Fresh Food Fast to reinvent how customers shop for their groceries. Fresh Food Fast is one of the fastest growing and strategic areas in Amazon’s retail business, and our team is focused on building the next generation selection model from the ground up. We are looking for an Applied Scientist to join a highly innovative science team that is building brand new, mission critical software for millions of Amazon customers. As a scientist on the team you will use your practical knowledge and experience with data science and machine learning techniques to tackle important technical problems to build a scalable model for selection assortment and drive improvements to our technology, collaborating with sharp engineers and highly-engaged users to improve the quality and customer experience. Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms and models to
• A MS in CS Machine Learning, Statistics, Operational research or in a highly quantitative field • 4+ years of hands-on experience in predictive modeling and large data analysis • Communication and data presentation skills • Problem solving ability • Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language · Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field · 4+ years of industry experience in predictive modeling and large data analysis · Strong skills with SAS/R/Matlab