Pan Wu is a senior manager of data science at Meta. We talked about why he moved from machine learning to product data science, projects he worked on at Uber, Linkedin, and Meta, and how he transitioned from IC to manager. Subscribe to Daliana's newsletter on www.dalianaliu.com for more on data science and career.

Pan’s LinkedIn: https://www.linkedin.com/in/panwu/

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(00:00:00) Introduction

(00:01:30) Why he transitioned from MLE to product DS

(00:07:38) Meta data scientists skill sets

(00:15:49) When did his interest shifted from MLE to product DS

(00:18:04) Is MLE more respected?

(00:25:46) A/B testing deep dives in 3 steps

(00:28:21) Built a tool at Linkedin

(00:35:52) How to sell your project

(00:41:07) Junior vs senior data scientist

(00:43:24) From staff data scientist to manager

(00:45:18) Explore being a manager

(00:46:24) Cultures in Uber, Linkedin, TrueCar

(00:52:09) Data science over the past 10 year

(00:55:06) MLE vs DS fun and frustration

(00:57:26) Product DS reality

(00:59:10) Learning new skills

(01:01:39) Mistakes he made

(01:06:34) Future of data science

(01:08:04) Will data scientists be replaced by AI

(01:09:42) Three skills he looks for when hiring