In my case, I'm a reasonably solid R / Python programmer (who occasionally dabbles in racket, clojure, and others). I've got the sort of applied statistical training of someone who took a quant-heavy course load in a PhD program. I've even (by title) been a data scientist a couple times now.
Having recently decided to reenter the job market, I'm reminded that finding the RIGHT data science role is a major challenge. When someone wants a data scientist, they may be looking for someone with a lot of specialist depth in operations research, financial forecasting, machine learning, data-focused software engineering, or some other not-at-all-universal area of expertise.
In some ways, I almost think that someone with a bootcamp level understanding of stats may be at an advantage. Whereas I'm very inclined to be, "Oh! You want this other kind of person. Would you like me to put you in touch with one?" I think someone more junior is inclined to be "How hard can [X] be?"