Every Thursday at 12 pm ET
Data Science Hangout
Join a community of data scientists that share insights about what it means to be a responsible, effective, and inspiring leader.
Upcoming episodes
Past hangouts
Eric Nantz
We will be joined by Eric Nantz, Director, Statistician & Podcaster at Eli Lilly. I love to create innovative solutions leveraging R and the open-source software ecosystem to solve challenging problems, and to connect with others in the community as the host of multiple podcasts.
11/17/2022
Matt Dancho
We will be joined by Matt Dancho, Founder at Business Science. Helping data scientists and aspiring data scientists grow their careers.
11/10/2022
Alan Schussman
We will be joined by Alan Schussman, Data Team Leader at W. L. Gore & Associates, Medical Products Division.
11/03/2022ABOUT DATA SCIENCE HANGOUT
Helping data science leaders grow together
It doesn’t matter how long you’ve been in the data science game — your title, background, or education either.
What does matter is that you’re passionate about learning, celebrating diverse perspectives, and raising the bar for what it means to be a data scientist.
So join with an open mind, an appetite to learn, and if you’re up to the challenge, something to contribute to your fellow data scientists.
When you grow, we grow.
Hope to see you there!
Each week, host Rachael Dempsey invites an accomplished data science leader to talk about their experience and answer questions from the audience.
The discussion focuses mainly on the human elements of data science leadership. There’s no sales or marketing fluff, just great insights from inspiring professionals.
Featured speakers
Interested in leading a Data Science Hangout?
Send Rachael Dempsey an email at
or add her on LinkedIn
Customer Stories
AstraZeneca
As anyone familiar with the life sciences knows, the business of medicine requires exceptional data science. The Scientific Computing Solutions team in AstraZeneca’s Advanced Analytics Centre use R and Posit data science tools to develop life changing medicines more efficiently
