#28 Organizing Data Science Teams
DataFramed
English - June 25, 2018 05:00 - 59 minutes - 54.5 MBTechnology data science data literacy learning and development artificial intelligence machine learning Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
What are best practices for organizing data science teams? Having data scientists distributed through companies or having a Centre of Excellence? What are the most important skills for data scientists? Is the ability to use the most sophisticated deep learning models more important than being able to make good powerpoint slides? Find out in this conversation with Jacqueline Nolis, a data science leader in the Seattle area with over a decade of experience. Jacqueline is currently running a consulting firm helping Fortune 500 companies with data science, machine learning, and AI. This interview is with Jacqueline Nolis, but at the time of recording, she went by Jonathan Nolis.
Links from the show
Jacqueline Nolis' website You're relying on data too much: making decisions worse, not better, by Jacqueline Nolis Hiring data scientists (part 1): what to look for in a candidate, by Jacqueline Nolis Jacqueline on Twitter For more, see our page here