SiriusXM
Josh Siever is a seasoned data science professional with extensive experience in leading data teams and driving business decision-making through advanced analytics. Currently serving as the Director of Data Science at SiriusXM since 2018, Josh oversees a team that specializes in experimentation, machine learning, customer segmentation tools, and forecasting macroeconomic impacts on business metrics. Previous roles at SiriusXM include Associate Director and Senior Manager, where Josh implemented automated machine learning platforms, designed retention experiments, and developed predictive models that contributed significantly to cost savings and revenue growth. Prior experience at M&T Bank as a Senior Quantitative Analyst involved creating statistical models for commercial banking portfolios. Josh holds a Master of Science in Analytics from the Institute for Advanced Analytics and a Bachelor of Science in Statistics from North Carolina State University.
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SiriusXM
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Sirius XM Holdings Inc. (NASDAQ: SIRI) is the world’s largest audio entertainment company, and the premier programmer and platform for subscription- and advertising-supported audio products. With the recent addition of Pandora Media, the largest streaming music provider in the U.S., SiriusXM reaches more than 100 million people with its audio products and services.