Fantastic piece from Claudia Perlich - Chief Scientist @ Dstillery - a startup in digital advertising.
Most of my female data science friends have chosen to stay in academia—some because they enjoy teaching, some because it seemed like the thing they were expected to do, and others because it promised a predictable future (twelve hours of work a day for six years, and then hopefully tenure without having to move around and look for good school districts).
The problem with data science in academia is that’s not where the magic happens. It happens at the Googles, Facebooks, Microsofts and IBMs, as well as startups like Dstillery. This is where the richest data and most interesting problems are—and it’s not accessible to most academics. In fact, for them, getting access requires heavy networking.