I think maybe “data cheerleading” is an ambiguous term. What I mean is that it’s important that data scientists not become responsible for making the products they work on look good to other people in the company.
Does data cheerleading mean “promoting the voice of data in the organization?” to you? We do tons of that and think of it as core to our mission.
I think the key difference is: are data scientists promoting an evidence-based way of thinking about the company (good) or are data scientists promoting a particularly rose-colored view on a system that is less than intellectually honest (bad)?