Meta Data Scientist Interview: A/B Test on Facebook's Friend's Features

Are you preparing for a product manager or data scientist interview? In this in-depth tutorial, we walk you through a complex interview question involving A/B testing at Meta: How does the "People You May Know" feature affect user engagement on Facebook? In this mock interview, our expert breaks down the steps to design an A/B test to verify whether users with more friends are seeing reduced engagement due to this feature. You’ll learn how to formulate hypotheses, set up control and test groups, and analyze results in the context of real-world social media data. This video is perfect for those gearing up for product manager or data scientist interview questions involving A/B testing, experimentation, and data-driven decision-making. Get ready to excel in your next data science or product manager interview! Get to know more about Eshan here: https://www.linkedin.com/in/eshan-tiwari-a03b8724/ The question we're tackling: https://www.interviewquery.com/questions/friends-over-engagement?utm_source=youtube&utm_medium=social 🔥 Use the code "datasciencejay" and get 10% off data science interview prep: https://www.interviewquery.com/pricing?utm_source=youtube&utm_medium=social ❓Check out our data science course: https://www.interviewquery.com/learning-paths/data-science?utm_source=youtube&utm_medium=social 🤑 Find out more about data scientist salaries: https://www.interviewquery.com/salaries/data-scientist-salary?utm_source=youtube&utm_medium=social 🔑 Want to get coached by Eshan?: https://www.interviewquery.com/coaching?utm_source=youtube&utm_medium=social Follow us on Twitter: https://x.com/interview_query Follow us on Instagram: https://instagram.com/Interview_Query Read my personal blog: https://datastream.substack.com/ Follow me on Linkedin: https://www.linkedin.com/in/jay-feng-ab66b049/ TIMELINE 00:00 - Introduction 00:36 - Designing A/B Tests for Engagement 06:13 - Engagement Decline & Hypothesis 12:23 - Network Effect in A/B Testing 18:35 - Explaining Holdout & Holdback Strategies