PayScale
Sara Hillenmeyer is a Senior Director of Data Science at Payscale, specializing in compensation planning and management software utilizing AI-driven, validated salary data. Previously, Sara held roles at Amazon, including Director of Data Science and Manager of Applied Artificial Intelligence/Machine Learning, where customer feedback was leveraged to improve product performance through personalized experiences. At Phyn, Sara contributed to the development of an AI/ML platform for real-time water usage analysis and leak detection. Educationally, Sara earned a PhD in Biomedical Informatics from Stanford University, where original research was published, and a ScB in Computational Biology from Brown University, alongside experience in genomic data analysis.
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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.