Supply Chain Solutions & the Role of the ML Engineer (Karin Chu, VP Data Science & Digital Analytics, Peapod Digital Labs)

<p>When highly disruptive events like the COVID-19 pandemic occur, data science teams may have to throw historical data out the window. Models trained on what happened in the past simply don’t work in a radically different present.</p> <p>In this episode, <a href="https://www.linkedin.com/in/karin-chu-phd-data-science/">Karin Chu</a>, VP Data Science and Digital Analytics at <a href="https://www.peapoddigitallabs.com/">Peapod Digital Labs</a>, discusses how her team is tackling that challenge head on, particularly as the global supply chain crisis impacts sectors from grocery to apparel.</p> <p>Plus, she explains why two things are so vital to the success of a data science team: ML engineers and a culture of communication.</p> <p>We discuss:</p> <ul><li>How data science teams are navigating the supply chain crisis</li> <li>The vital role of an ML engineer</li> <li>Tips for communicating about data science in business</li> </ul> <p><em>Tune in on </em><a href="https://podcasts.apple.com/us/podcast/data-science-leaders/id1564587119"><em>Apple Podcasts</em></a><em>, </em><a href="https://open.spotify.com/show/0zJgKGIHZzJG1VgSDHNojP"><em>Spotify</em></a><em>, our </em><a href="https://www.dominodatalab.com/data-science-leaders-podcast/"><em>website</em></a><em>, or wherever you listen to podcasts.</em></p> <p><em>Can’t see the links above? Just visit </em><a href="http://domino.buzz/podcast"><em>domino.buzz/podcast</em></a><em> for helpful links from each episode.</em></p>