Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Frances Haugen

Frances Haugen
Product Manager, Pinterest


Frances Haugen is a data product manager at Pinterest focusing on ranking content in the Home Feed and Related Pins and the challenges of driving immediate user engagement without harming the long-term health of the Pinterest content ecosystem. Previously, Frances worked at Google, where she founded the Google+ Search team and built the first non-“Quality”-based search experience at Google. (It was time based with light spam filtering.) She also cofounded the Google Boston Search team. Frances loves user-facing big data applications and finding ways to make mountains of information useful and delightful to the user. She was a member of the founding class of Olin College and holds a master’s degree from Harvard.


11:00am11:40am Thursday, March 16, 2017
Data science & advanced analytics
Location: LL21 A Level: Beginner
June Andrews (Wise / GE Digital), Frances Haugen (Pinterest)
Average rating: *****
(5.00, 5 ratings)
An experiment at Pinterest revealed somewhat shocking results. When nine data scientists and ML engineers were asked the same constrained question, they gave nine spectacularly different answers. The implications for business are astronomical. June Andrews and Frances Haugen explore the aspects of analysis that cause differences in conclusions and offer some solutions. Read more.