[minimaxir]

There's been data science/machine learning bootcamps around for awhile (Galvanize/Metis being common examples in San Francisco), but apparently job placement is not in a good place (as with normal bootcamps).

Indeed Machine Learning/Deep Learning has become much more accessible thanks to the number of free guides such as this. But that means data science job placement will become more difficult as competition increases, with more gatekeeping/requirements (e.g. Masters/Ph.Ds)

[alexbeloi]

The issues I've heard from a few people in hiring is that there is a surplus of junior data scientists from these camps and a shortage of senior data scientists to manage them. Problems not dissimilar to tech hiring in general, but companies need a lot more SWEs than data scientists.

[plaguuuuuu]

Depends what the company is doing.

Most companies are going to utilise ML to some extent. Once technology and tooling improves they'll need boots on the ground engineers and not labs with R&D teams

[minimaxir]

Masters/PhDs can be boots-on-the-ground engineers too.