Ask HN: Is it common for data science to interfere with Back End lang choices?

Joined a startup few months ago as a backend engineer (ruby), and we're just starting a new project which would consume/manipulate lots of data that Data Science team imports from another service.

Since we're going to write this service from scratch, as backend team we're evaluating languages/frameworks, but in this process getting lots of questions/comments etc. from data scientists re: why we're not using go or python languages. I'm genuinely curious if this is a common thing, I have no problem explaining the reasons why we're choosing X lang and/or Y framework, but people from other departments (project managers/product etc) started joining conversations too. I joined this company from a relatively big startup (~100 engineers) and we had pretty well defined teams that would take these types of decisions within teams.

Please share your experiences if you had anything similar, thanks!