5 Mistakes I Wish I Had Avoided in My Data Science Career
I learned these lessons the hard way so you don’t have to
When I first made the transition from finance to data science, I felt like I was on the top of the world — I got a job in my dream field, my career track is set, I will just keep my head down and work hard, what could go wrong? Well, there were a couple of things … for the following year as a data scientist, there were several mistakes that I’m glad I caught myself making early in my career; this way, I had time to reflect and course-correct before it was too late. After a while, I realized that these mistakes are quite common; in fact, I have observed a lot of DS around me still making these mistakes, unaware that they can hurt their data career in the long run.
If my “5 Lessons McKinsey Taught Me That Will Make You a Better Data Scientist” were what I learned from the best, the lessons in this article are those that I learned the hard way, and hope I can help you avoid making the same mistakes.
Mistake 1: Seeing yourself as a foot soldier instead of a thought partner
Growing up, we have always been evaluated based on how well we can follow rules and orders, especially in school. You will be the top student if you follow the…
