It's really not. Statisticians usually receive only minimal training in statistical programming, data cleaning, data gathering and warehousing and so on – yet t

It's really not. Statisticians usually receive only minimal training in statistical programming, data cleaning, data gathering and warehousing and so on – yet those are all essential to data science. On top of that, when dealing with bigger data sets, many common statistical tests become irrelevant, as their main purpose is to make it possible to reason about small sample sizes. Of course, I don't mean to imply that a data scientist shouldn't have at least a basic statistical grounding: they do. But there's roles in data science for people with varying skills in programming, ops, statistics, ML, visualization and so on.