I agree, though my impression is epi's use policy driven hypothesis' to construct data driven stories around, which is great for directing their attention to things like your example, as ultimately it was an activist narrative backed by epi data that made people aware of how bad some of those carcinogens were.
However, there are many epis who are just political scientists, and calling them epidemiologists and conflating them with bio or medical experts is sort of like the way we talk about devs as engineers and architects. Covid has really put them in the spotlight, as they're the ones driving policy, which becomes a big deal when we start using their work as justification for internal passports and mandates. I'm saying the epis working on covid aren't held to the standards of other scientists or even data science hackers, and they are being used to launder radical policies through "expert" models data.
I've got massively controversial opinions on these topics because of my health information privacy and security work, so YMMV.
I'd posit that a data scientist with working professional competence in say, R and Pandas has as much or more modelling experience for empirical discovery than most epi's where I'd suggest the epi's are a kind of policy profession, and that someone with those basic quantitative skills is equipped to question policies and assertions produced by said epis.