[michaelflux]

Not at all. Worst case scenario even if it doesn't land you a data science job, doesn't mean that it won't greatly help in another job that you may be doing.

The question you're asking is essentially "what's the point of going to the gym if I won't ever become Mr. Olympia".

[charsifood]

I'm not the OP.

The comment above responded to the OP by treating his/her question as trivial and followed it with a snarky "P.S. It's called ’statistics’." remark.

P.S. @qubex Some people don't have degrees and would actually like to work in data science regardless. The OP is asking about the practicality of that scenario.

[qubex]

I didn't treat it as trivial (exactly) but I oozed what I judge a suitable level of condescension for what is clearly a very venal question that transpires a very narrow horizon. As for the ”it's called ’statistics’” comment: it is, and that subject has a rich history going back centuries — much of the ’modern’ ”data science” is just a less refined, more brutal reinvention of those same techniques.

[nl]

I run a data science team.

We have statisticians (yes, plural) on my team who have published in Nature, and plenty with other backgrounds.

Even ignoring the data engineering side, there is plenty that statisticians don't do or know which is useful data science.

Take the two attitudes to p-tests, or what a "reasonable number of features" means. You drop the Jeff Dean "consider training models with billions of features" quote on a statistcians desk and see their eyes open.

Statistics is great, but data science is just as much programming as it is stats.

[samuraixp]

Awesome, so what qualifications do your Data Science team members have and would you hire someone without a degree? Or what if they had a data science / ML / AI MOOC like Udacity or Coursera? And do you have any advice for OP or others who don't have degrees?

[nl]

We've interviewed people without degrees for SWE positions. I don't think we've hired any.

I wouldn't rule it out, but it would be useful to have accomplishments to point to, or a personal recommendation.

We have a stack of maybe 25 well qualified PhD data scientists waiting for interviews. It takes a lot to get to the head of that line.

[tutufan]

Interesting. So perhaps tales of shortages are bullshit?