Great comment. What you say matches my experience, but not entirely. My take: The 2% is a bit low as an avg. for ML work; I would say modeling/ML work ranges f

Great comment. What you say matches my experience, but not entirely. My take: The 2% is a bit low as an avg. for ML work; I would say modeling/ML work ranges from 0 to 20% across the "data team". Most of the work is still data wrangling/engineering. I agree that most companies need "full stack data guys". At my current company, there were 2-3 iterations of previous DS teams who had zero impact and left behind nothing in production. Then I came in, and being a full stack guy, I built up a DWH, ETL, dashboards [1] and eventually found opportunities to put ML into production [2]. I don't agree that the hype will end. The reason = companies/CEOs aren't rational and don't know what you said above. They'll just keep hiring DS people/teams and hope that eventually some magic gift pops out. I think this will keep on going for at least 5 years. I get pinged about 1-2 times per week by recruiters for Head of DS type positions in London/Dubai, everybody wants to build data science teams. [1] http://bytepawn.com/fetchr-data-science-infra.html http://bytepawn.com/fetchr-data-science-infra.html [2] http://bytepawn.com/automating-a-call-center-with-machine-learning.html http://bytepawn.com/automating-a-call-center-with-machine-le...