The Data Science Process
I'm interviewing people for multiple DS positions (subtle recruiting thing there...) at the moment and it's not fun.<p>The number of people who can't work out what <i>kind</i> 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!<p>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?<p>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.<p>Why is this?