PayScale
Sean Harrington is a Principal Data Scientist at Payscale, where responsibilities include the development and deployment of a survey recommendation system and an advanced job matching service utilizing collaborative filtering and deep neural network architectures, respectively. Prior to this role, Sean worked at Boeing Research & Technology as a Material, Process & Physics Engineer, leading a project that employed machine learning techniques to enhance manufacturing efficiency. Additionally, Sean served as an Industrial Engineer at Boeing Commercial Airplanes, creating a Monte Carlo simulation tool to optimize production processes. Sean holds a Master of Science in Computer Science from Georgia Institute of Technology, an MBA from Seattle University, and a Bachelor of Science in Industrial Engineering from Oregon State University.
PayScale
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As the industry leader in compensation data and technology, Payscale helps organizations #getpayright. Payscale is the only technology solution for managing compensation that provides multiple streams of fresh, transparently curated, and validated salary data. Combined with modeling engines that learn continuously and generate recommendations and insight, Payscale empowers HR to price jobs and adjust compensation to reflect near real-time changes in the market — all on one trusted data platform. With Payscale’s Adaptive Compensation Advantage, teams operate with efficiency, focused on outcomes rather than manual data management.