Hey everyone, OP here -- thanks for reading or discussing.
Curious if anyone else has switched from data science to software engineering, or has thoughts on comparing the two as a career choice. I'm all ears!
Curious if anyone else has switched from data science to software engineering, or has thoughts on comparing the two as a career choice. I'm all ears!
One thing I don't think gets talked about enough: How much time analysts spend doing analysis vs. time spent dealing with data quality/architecture/process. So much analyst time is lost in the latter, which I think contributes greatly to burnout. But the growing intersection with engineering has and will continue to address this, albeit slowly.
Training and tweaking models looks like the easy part of developing data driven products. Hiring compenent enough people also seems easier than for software engineers.
Many ML libraries produce good enough results without having to design elobare models myself. I see data science more as yet another tool in the belt of a a software engineer - like server admin, CI/CD, IaC, databases,...