Wayfair
Kaitlyn Y. is an experienced leader in customer analytics and data science, currently serving as the Head of Customer Analytics and Data Science at Wayfair since 2021, where Kaitlyn manages three data science teams focused on enhancing the web and app experiences for six brands across five countries. Prior to this role, Kaitlyn held various positions including Manager of Advanced Analytics & Insights at Wayfair, Analytics Manager at Mindshare, and Senior Analyst at Performics, contributing significantly to analytics projects and client strategies across multiple channels. Kaitlyn's earlier experience includes roles at HP, Broadway In Chicago, and as a Data Science Research Fellow at the Spiegel Research Center, along with a strong foundation in fundraising and team management at Northwestern University. Kaitlyn holds a dual MS/BS degree in Integrated Marketing Communications and Communication Studies from Northwestern University and is currently pursuing further education at the University of Pennsylvania.
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Wayfair
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Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 10 million items across home furnishings, décor, home improvement, housewares and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.