I work as a data scientist, kind of early in my career and I feel guilty of not spending my free time learning more about DS and MLOps.

Wanted opinions and experiences from senior/lead data scientists on how they learnt more as they climbed the ladder and if there is any validity to the hypothesis that being more technically adept will lead to career growth.

I’m feeling overwhelmed with the number of topics that I feel like I need to know to be actively contributing to my career growth.

career data datascience data scientist free kind mlops work