Episode 1
More than Models: Building a Culture of Data Literacy and Data Ethics
Data Science Leaders | 33:34 | April 29, 2021
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.
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:
