The Data Science & Analytics track focuses on the tools and algos of the analytically inclined, covering topics such as Business Intelligence (BI), customer analytics, A/B testing and data visualization, plus talks on tools and techniques that are applicable for practicing data scientists and analytics professionals.
If you’re interested in the latest advancements in statistical methods, data science notebooks, AI explainability or algorithmic insights, join your data science peers on this track to learn about recent innovations in this space that highlight applied data science skills and solutions.
Sean J. Taylor is co-founder and chief scientist at Motif Analytics. Previously he was a data scientist and head of Lyft's Rideshare Labs and spent seven years as a research scientist on Facebook's Core Data Science team. Sean's work is at the intersection of experimentation and causal inference, with a focus on applied problems and generating business value using the latest methods. He earned his PhD in Information Systems from NYU’s Stern School of Business as well as a BS in Economics from Wharton School.
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Sean Taylor | Chief Scientist | Motif Analytics
