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.
* Evaluate state-of-the-art algorithms in NLP, probabilistic graphs and deep bayesian networks * Design new algorithms that improve on the state-of-the-art to drive business impact. * Collaborate with product, UX, and tech partners to experiment new product features in production to spur Seller actions in improving customer experience * Design and plan collection of new data labels that allow us to build better models that will further improve Seller adoption and trust. * Analyze and convey results to stakeholders and contribute to the research and product roadmap
Amazon is a company operating a marketplace for consumers, sellers, and content creators.