To maximize learning, my main advice is:
Out of college, I spent five years bouncing around startups of various sizes as a data scientist. My girlfriend spent her first five years out of college at Google. In terms of learning, there was no comparison: I experienced multiple industries, multiple tech stacks, worked with multiple teams, and within each job I wore multiple hats and did a variety of different kinds of work.
At a job, you're going to learn the most within your first few months with a team or your first few months filling a particular role. After that, things slow down a lot. So, to maximize learning, shorter stints with smaller teams are best, since they force the most variety.
Thanks, this is a nice POV, and sounds about right. Once I'm there (wherever that is), what should I strive for? Being in a small team with a dedicated person to ask things? Or being alone so that I ave to do everything myself, i.e. learn to do everything?
That's the problem I see with going small, by the way. I think having a 'mentor' (or something as close to one as possible) would be really good for my learning, but show me a startup that can afford more than a week or two of onboarding time; I'd be afraid they just show you the basics and leave you to struggle alone.
I did a few things early career, I'm mid career now, and not particularly successful, but I did learn a lot.
spend the $ price of a semester of college annually on professional development in the form of learning, bias towards things without a credential and with built in tests, use all vacation time to pursue this.
whenever you have a chance to interact with someone who knows something about a field you don't, get book suggestions, and put together a bibliography. Who knows when or if you'll get to it, but between scihub and libgen, you'll at least be able to access it.
I chose work that would challenge me, sometimes getting thrown in the deep end helps, sometimes you drown. Good luck! If I could go back, in time, I'd probably have picked different subjects, and gone with 'full years tuition' per year rather than semester.
use all vacation time to pursue this
I understand your point, however on the other hand isn't this unhealthy? It's actually an interesting question; 'workaholism' is usually looked down upon, and this could be classified similarly, but what about situations when the persons really enjoys the 'work'? But then, don't alcoholics also enjoy drinking?
That's wildly off-topic, though. Thanks for your viewpoint, I think in general it's important to realise that it's good to invest both time and money in learning, even outside of school and work.
I'm a student in a subfield of CS and biology, getting my bachelor's degree later this year and planning on continuing to masters (and maybe beyond). My ultimate goal is to work on the edge between biology, CS and datascience, preferably in an industry-backed research centre (think: Microsoft labs, or Deep Mind).
I decided that when it comes to my current career possibilities, I will prioritise learning before anything else. The question is, how do I do that? The process is two-fold: first I have to choose a workplace, and once I'm there I have to do certain things in order to reach my goal. The "best path" will then be a combination of those two things.
I'm lucky enough to be a very good student, so with some amount of effort I can get to most places I'd like. The possibilities are roughly:
Which one of those do you think should fit my goals the best? And what do I do once I'm there?