More than anything this article convinces me that there is a bubble of Data Scientists (speaking as someone who as employed as a DS and quit one month ago to build his startup).
Well, my previous job was more data pulling involved than statistical modelling. It could have been just me, but the company had more than 30 DSs and I think only two of them did anything advanced. I read on HN once that 95% of the DSs where in the same situation as me.
So for me it seems that Data Science is more a fad and company are hiring PhDs more for the sake of having an impressive data science team than for using advanced modelling tools.
I may be wrong of course, but Nathan mentions in his blog Netflix and Khan Academy. I guess Netflix can use data science to make recommendation system, and Khan Academy to gauge the level of the exercises they propose, and see if the progression curve of the students is right. Honestly, I don't see how this would need something particularly advanced in term of modelling.
Does that translate to: "it's easy to get a DS job now adays since no one is actually doing anything super advanced. So its unlikely you are under qualified for the job" ??
Kind of. I am under the impression that many companies have a top management that wants a strong data science department, resulting lots of demand for high profile PhDs, without having actually a real use for them, hence many DSs are over qualified, like I was.
