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    Data Science Leaders | Episode 01 | 33:34 | April 28, 2021

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

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    Summary

    Transcript

    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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