Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Katie  Malone

Katie Malone
Director, Data Science , Civis Analytics

Katie Malone is director of data science at data science software and services company Civis Analytics, where she leads a team of diverse data scientists who serve as technical and methodological advisors to the Civis consulting team and write the core machine learning and data science software that underpins the Civis Data Science Platform. Previously, she worked at CERN on Higgs boson searches and was the instructor of Udacity’s Introduction to Machine Learning course. Katie hosts Linear Digressions, a weekly podcast on data science and machine learning. She holds a PhD in physics from Stanford.


10:00am10:30am Tuesday, March 6, 2018
Katie Malone (Civis Analytics)
Average rating: *****
(5.00, 2 ratings)
The 2012 Obama campaign ran the first personalized presidential campaign in history. The data team was made up of people from diverse backgrounds who embraced data science in service of the goal. Civis Analytics emerged from this team and today enables organizations to use the same methods outside politics. Katie Malone shares lessons learned from these experiences for building effective teams. Read more.
2:40pm3:20pm Wednesday, March 7, 2018
Katie Malone (Civis Analytics), Skipper Seabold (Civis Analytics)
Average rating: *****
(5.00, 1 rating)
A huge challenge for data science managers is determining priorities for their teams, which often have more good ideas than they have time. Katie Malone and Skipper Seabold share a framework that their large and diverse data science team uses to identify, discuss, select, and manage data science projects for a fast-moving startup. Read more.