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

Data Science Leaders | 33:34 | April 29, 2021

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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:

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