Data Piques I'm all about ML, but let's talk about OR

You've studied machine learning, you're a dataframe master for massaging data, and you can easily pipe that data through a bunch of machine learning libraries. You go for a job interview at a SAAS company, you're given some raw data and labels and asked to predict churn, and come on - are these guys even trying? You generate the shit out of some features, you overfit the hell out of that multidimensional manifold just so you can back off and show off your knowledge of regularization, and then you put the icing on the cake by cross validating towards a better metric for the business problem than simple accuracy. You roll up on an ecommerce company, and they trick you by basically giving you no features. Ha! Nice try, but you know that's a classic recommender system.