Ya Xu, LinkedIn | Stanford Women in Data Science (WiDS) Conference 2020
summary
LinkedIn frames a concrete goal—create economic opportunity for every worker—backed by a 700 million-member economic graph and millions of jobs and companies; teams use A/B experiments plus surveys and behavioral logging to decide which features roll out; privacy protection relies on early adoption of differential privacy for aggregate analysis; hiring, promotion and inclusion-group interventions change recruiting and retention processes to reduce bias and improve representation, with measurement built into product and people workflows.
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chapters (7)
- 0:00Introduction to WiDS
- 0:42LinkedIn’s role and data science
- 1:50Improving user experience with data
- 3:15Creating global economic opportunities
- 4:59Building diverse data teams
- 7:55Advice for women in data science
- 8:42Future of data science and AI
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