More than Models: Building a Culture of Data Literacy and...

What this episode covers

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 scientistsSome resources mentioned during the podcast:hackNYBeautiful Data: The Stories Behind Elegant Data SolutionsTune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.

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Frequently Asked Questions

How long is this episode of Data Science Leaders?

This episode is 34 minutes long.

When was this Data Science Leaders episode published?

This episode was published on April 21, 2021.

What is this episode about?

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...

Can I download this Data Science Leaders episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.