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Dr. Sean Taylor, Co-Founder and Chief Scientist of Motif Analytics, joins Jon Krohn this week for yet another perspective on causal modeling. Tune in for a great conversation that covers large-scale causal experimentation, Information Systems, Bayesian parameter searches, and more.\nThis episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.\nIn this episode you will learn:\u2022 Sean on his new venture, Motif Analytics [4:23]\u2022 The relationship between causality and sequence analytics [15:26]\u2022 Sean's data science work at Lyft [22:21]\u2022 The key investments for large-scale causal experimentation [27:25]\u2022 Why and when is causal modeling helpful [32:34]\u2022 Causal modeling tools and recommendations [36:52]\u2022 Facebook's Prophet automation tool for forecasting [40:02]\u2022 What Sean looks for in data science hires [50:57]\u2022 Sean on his PhD in Information Systems [53:34]\nAdditional materials: www.superdatascience.com/617