That's horrifying, my litmus test for data scientists is whether they acknowledge KPI's are imperfect measures. In my experience, data scientists that come from hard science backgrounds (e.g. Physics and Biostats) tend to be much more open minded to the idea that there isn't a "perfect" statistical measure.
Like I'd agree that maths/cs people are little naive about error but I can't imagine any data scientist from a social science background thinking that any measure is perfect.
Wow, so when I worked at a FAANG, I would say that soc sci people (broadly defined) made up at least a third of the data science org. Data science is a broad church though, and varies a bunch across companies so it's normal I supppose (though strange to me).
