Data Science Interview - Increasing Sales through A/B Testing (with Tinder Sr. Data Science Mgr)

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Tyler, a Senior Data Science Manager at Tinder discusses the process of evaluating two different versions of email campaigns to increase sales through A/B testing. It covers steps such as determining success metrics, setting hypotheses, allocating test groups, and implementing the test. The focus is on using randomization and causal analysis to make informed decisions.

Chapters (Powered by ChapterMe) -
00:00 - Intro
00:46 - Building two different versions of email campaigns to increase sales
04:20 - Goal setting, hypothesis formulation, task group and allocation
06:17 - implementation to run test after running

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