Cat Zhou is Head of Data Science for New Products at Twitter. She leads a team of data scientists working on applications of causal inference and experimentation. Cat has over 10+ years of industry experience at both startups and Fortune 500 companies. She is passionate about opinionated data science and building inclusive teams. (www.catzhou.com)
This talk will cover causal measurement and online experimentation. We’ll discuss the role of controlled experiments (both standard A/B tests and universal holdouts) in business decision-making, practical tradeoffs in implementation, and lessons learned building causal measurement.