Check out our data science interview question database: https://bit.ly/3Q2ZVeQ

In this video, Tyler, a Senior Data Science Manager at Tinder, discusses alternatives to A/B testing for campaign effectiveness. Tyler recommends "difference in difference" (diff in diff) for causal inference, highlighting its ability to reduce bias and provide trustworthy results by comparing rate of change in outcomes.

Chapters (Powered by ChapterMe)
00:00 Intro
00:48 AB testing or randomization preferred, diff in comparison preferred
03:36 Compare two groups with different rates of change

Watch data science mock interviews from Exponent:
How Many Ads?:    • Instagram Data Science Question  How...  
Retry Transaction ft. Paypal Data Scientist:    • Stripe Data Science Mock Interview: R...  
Amazon Data Science Interview: Linear Regression:   • Amazon Data Science Interview: Linear...  
Snap Data Science Mock Interview: Improve Camera Speed:    • Snap Data Science Mock Interview: Imp...  

Subscribe to our channel: http://bit.ly/exponentyt
Follow us on Twitter: http://bit.ly/exptweet
Like us on Facebook for special discounts: http://bit.ly/exponentfb
Check us out on Instagram: http://bit.ly/exponentig
Watch us on TikTok: https://bit.ly/exponenttikttok

ABOUT US:
Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and highgrowth startups. Exponent is currently licensed by Stanford, Yale, UW, and others.

Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!