Interested in driving research that will shape new products that surface actionable levers to improve customer experience for Amazon’s growing 3rd party Seller population? Amazon Global Fulfillment Services is seeking an Applied Research Scientist to apply and extend state-of-the-art research in probabilistic graphs, deep bayesian networks and NLP, to help us enhance customer feedback and present opportunities to improve product listing issues and surface new customer desired features to our growing 3rd party Seller population. You will analyze and process large amounts of text data from customers and product detail pages, evaluate state-of-the-art algorithms and frameworks, develop new algorithms to improve the Voice of the Customer product for our Sellers. You will partner with engineers and product managers to design new product features that are actionable by Sellers and improve both customer and Seller experience with Amazon. Responsibilities: · Evaluate state-of-the-art algorithms
· MS in Computer Science, Machine Learning, NLP or other relevant areas · 2+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systems · Proficiency in Python, R, Matlab or other relevant modeling languages, and text data manipulation · Understanding of computer science fundamentals such as data structures, object-oriented design and service-oriented architectures · Ability to convey Machine Learning concepts and considerations to non-experts· PhD in Computer Science, Machine Learning, NLP or other relevant area · 4+ years of