Should we mention model accuracy in Data Science candidate resume?

I often see people mentioning F1score, Accuracy values in their resume. I personally think, that’s not required, infact it gives an impression that you aren’t exactly experienced enough as a data scientist, unless of course you have chosen a world famous dataset where people have struggled to bring out good models and you have one that stands out.

Real struggle for a data scientist is to frame the right ML problem, formulate feature engineering and choose the approach to evaluate the model in the given conditions. Make sure to bring that out in the resume more.