The Culture of Data Scientists

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Lift is a very science first company. It's not that hard to communicate a pretty technical idea across the whole company, which is useful because some insights and ways to manage the business are pretty technical. So you've got the call at the good causal inference people. And it sounds like culturally the company isn't going to do anything proprietary.

What causes us to keep returning to the topic of causal inference on this show? DAG if we know! Whether or not you're familiar with directed acyclic graphs (or… DAGs) in the context of causal inference, this episode is likely for you! DJ Rich, a data scientist at Lyft, joined us to discuss causality — why it matters, why it's tricky, and what happens when you tackle causally modelling the complexity of a large-scale, two-sided market! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.