That's quite a simplified and antagonistic comment. Data scientist have their own problems too, like crappy data (if any) and unclear business objectives. This

That's quite a simplified and antagonistic comment. Data scientist have their own problems too, like crappy data (if any) and unclear business objectives. This usually means fast iteration at all costs. That's why Python or R are the languages of choice, which are not precisely the most amenable to deployment. Now, think about their KPIs vs yours and everything falls into place.