Jamie Shive
Director of Data Science at the National Hockey League
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Join us with Jamie at National Hockey League to chat about her journey from academia to the sports industry, carving out space for data-driven decision making, and using analytics to track the rapid evolution of hockey fandom.
Featured in this episode
Jamie Shive
Director of Data Science at the National Hockey League
Jamie Shive is the Director of Data Science at the National Hockey League. Her team is responsible for building descriptive and predictive data models that help the organization improve fan engagement and the overall fan experience. Before entering the sports industry, she taught college and graduate-level mathematics and statistics while completing her Ph.D. in Systems Modeling and Analysis. Motivated by her teaching experience, she is passionate about making data and analytics concepts accessible, engaging, and actionable.
Libby Heeren
Data Community Manager at Posit, PBC
I'm a data science educator and community builder who wants to help you cultivate a community of practice for yourself. I talk a lot about the benefits of making genuine human connections, the power of vulnerability, and why we all benefit when we show up as our whole selves. I'm also the host of the Data Humans podcast where my motto is: data science is not one thing.
Rachael Dempsey
Community Manager at Posit, PBC
I love connecting people across the data science community to share what they're accomplishing with data and help others do the same through community discussions, industry meetups, and more.