Amazon Corporate LLC Principal Applied Scientist in Seattle, Washington

Principal Applied Scientist Location: US-WA-Seattle Job ID: 659540 Company: : Amazon Services, LLC Position Category: Machine Learning Science Company/Location (search) : Country (Full Name): : United States Job DescriptionThe North American Consumer Economics team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon's network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. We are looking for an outstanding Machine Learning Scientist who is able to implement supervised, unsupervised, and reinforcement learning routines for modeling the behavior of sellers and consumers inside the Amazon economy. You will work with social scientists to find the best ML solutions to the complex prediction and estimation problems that arise inside the modeling of a complex economy. After collaboration with economists on problem definition, you will lead and own the end-to-end process from determining (and collecting) the right data to model design to estimation, validation, and deployment. You will work with SDEs and data engineers to ensure that we are building a base of reusable scalable code. As a principal applied scientist, you will include owning the design, implementation, and operation of a number of large-scale distributed systems that are critical for the operation of and our customers' businesses. You will own hiring and developing top scientist and engineering talent, and you will work with technical and business leaders to set strategy, define the product, and make the hard, high-judgment trade-offs between features and speed-to-market. You will also take an ownership role leading the end-to-end collaboration with our business partners. You will need to collect information from across business teams and develop the roadmap for delivering insights and tools that have lasting impact. Experience in business applications and/or applied empirical applications is essential. You need to also be able to communicate across disciplines and be keen to engage with applied and research scientists during the process of model building, estimation, and optimization. This is a unique opportunity for those scientists who wish to dive deep into real economic problems, and those who are interested in understanding causal patterns. We are particularly interested in candidates with experience in Deep Learning, variational Bayesian analysis, Stochastic Gradient Descent, large scale sparse learning, and reinforcement learning. However, we want to talk with any experienced scientist who in interested in causal inference and who wants to work on innovative, strategic problems with significant business impact. Basic QualificationsBasic qualifications * PhD in CS, CE, Statistics, or a related discipline * 8+ years of experience in industry, consulting, government, or academic research. * Effective verbal and written communications skills Preferred QualificationsPreferred qualifications * Applicants with considerably more experience are encouraged to apply * Strong research track record, drives results * Thinks strategically, but stays on top of tactical execution * Experience with big data, business applications, and/or machine learning * Exhibits business judgment * Has relentlessly high standards * Dives deep, thinks big and has convictions Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation