The Data Science Process
I'm interviewing people for multiple DS positions (subtle recruiting thing there...) at the moment and it's not fun.The number of people who can't work out what kind of solution a DS scenario needs is very disappointing. I'm not even talking about giving a "correct" solution: most can't even work out the class of problem!Here's something to think about: Are you doing visualization? Building some kind of model to explain existing behavior? Building a predictive model? Is it supervised or unsupervised?This is pretty basic stuff (surely it's close to the FizzBuzz of data science?), and yet it is borderline impossible to find people who just nail it.Why is this?