I have recently joined a company heavy in "Data Science". I thought, great, I love statistics myself so this is a perfect match in heaven, except that, our "Data Scientists" don't seem to have much statistical background, meaning, they would use xgboost, tensorflow, pytorch and various other frameworks, but they have no idea what does it means to reject the null hypothesis, or what's an r^2 or rmse, AIC, BIC, etc.

Is this something common in the industry, have you observed that too in the workplace, or did I just get lucky?