on the margin, though, I’d agree that Python has an overall edge. Data munging is a LOT better in data.table though, but without deep learning and the same tools that scikit-learn provides, R lags.
I would say the emphasis should be less on “what’s your background”, but more on “what do you want to do” and “what do the companies hiring data scientists use/require”. Python probably wins for both.
Except for Shiny. R wins for dataviz in general, and interactive dataviz in particular, and that’s an astonishing lapse in Python data science ecosystem.
