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Personally I’m moving out of the field into general software development. As a data scientist I never found myself getting into a “flow state”. Most importantl
by serjester 4y ago
Personally I’m moving out of the field into general software development. As a data scientist I never found myself getting into a “flow state”.
Most importantly I’ve found the impact of machine learning to be limited outside of massive companies which come with their own headaches. To add to that the number of jobs is limited and the competition is fierce.
Not to say any of this is a negative, I just recommend people only get into it if they genuinely find working on ML problems exiting enough to do in your free time.
If anyone has done something similar, I’d love to hear about it. Most recruiters seem to be pretty surprised I’d want to do this.
- nachpatch 4y agoSame here, I did a bachelor in CS/math, then a masters in Data Science. Really enjoyed the theory/application a lot but did not like the idea of having to do it as a living. If I have to build a piece of software then I can be quite certain that I can deliver. For a Data Science project on the other hand, there are a lot of ifs, e.g. quality of data, how well does it actual generalize, etc. I think in an environment where the higher ups understand ML well and you have a good team it could be fun; the moment the higher ups don’t understand it so well, I feel like it could be the source of a lot of stress. My recent recruiter was also skeptical at first when I applied for a swe position with an ML background.