Career In Tech

6 Things Grad Schools Fail to Teach Me about Data Science

The aftermath and the coping strategy

Leihua Ye, PhD
7 min readApr 26, 2022

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Career In Tech 6 Things Grad Schools Fail to Teach Me about Data Science The aftermath and the coping strategy
Photo by Vasily Koloda on Unsplash

Introduction

First off, here is a big personal update: in March 2022, I officially graduated from my Ph.D. program and earned the doctoral title. So, please address me as Dr. Ye since today (kidding).

While looking back at the long journey, surviving grad school takes more than hard work and dedication; it also requires a strong stomach for the ups and downs as you grind through the process. Being able to cross the finish line (phinally) was an emotional moment in my life, and there is no shame in admitting that I shed a few drops of tears.

Besides, May 2022 marks the 6-month anniversary of working in tech. There are valuable learnings and lessons that I’d like to share with the broader community. Well, why don’t we kill two birds with one stone? So, I dedicate this post to something special.

Background

Recently, I was asked for my perspective on Data Science (DS) education and if a post-graduate degree in Statistics is a career booster or dragger. Here is my two-cent: a graduate degree in Stats is definitely rewarding and valuable to one’s tech career in DS and beyond. In my daily routine as a…

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Leihua Ye, PhD

Senior Data Scientist @ Walmart; PhD @ University of California. AI | Technology | Data Science | AB Testing. 💼 Connect with me: www.linkedin.com/in/leihuaye