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

Skipper Seabold
Director, Data Science, Civis Analytics

Skipper is Director of Data Science R&D and a Product Lead at Civis Analytics in Chicago. He leads a team of data scientists from all walks of life from physicists and biologists to statisticians and computer scientists. Together they drive the data science behind the products Civis offers and push the capabilities of solutions that Civis provides to its clients. He is an economist by training and has a decade of experience working in the Python data open source community. He started and led the statsmodels Python project, was formerly on the core pandas team, and has contributed to many projects in Python data stack. He holds strong opinions about writing and barbecue.

Sessions

2:40pm–3:20pm Wednesday, March 7, 2018
Building a data science idea factory: How to prioritize the portfolio of a large, diverse, and opinionated data science team
Data-driven business management, Strata Business Summit
 Location: 210 C/G
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.