Algorithms can have an outsized impact on society. That’s why many data science leaders have focused a lot of effort recently on defining data literacy and ethics in a way that’s operationalizable in their company culture.
In this episode, Dave Cole speaks with Chris Wiggins, Chief Data Scientist for the New York Times, about why a foundation of data literacy and data ethics is so important for data scientists.
What we talked about:
-Building a data science team at the New York Times
-Creating a data culture
-The relationship between a data science team and a data analyst team
-Necessary soft skills for data scientists
Some resources mentioned during the podcast:
hackNY
Beautiful Data: The Stories Behind Elegant Data Solutions
Tune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.
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This is Data Science Leaders from Domino Data Lab, with me, Kjell Carlsson. On this show, you’ll have a front-row seat to conversations featuring world-changing data science leaders. Join us for transformative stories of real people using machine learning to harness the power of data science to tackle the world’s most important challenges.
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