Data Science Leaders More than Models: Building a Culture of Data Literacy and Data Ethics
Apr 21, 2021
34:10
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.
Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.
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.
Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.