zlacker

Kaggle comps don't, to my knowledge, involve tasks like: - Convincing someone to give you data.

- Convincing them to spend great effort into changing their data collection and labelling practices.

- Explaining why a particular technique was used and why it is correct.

- Explaining why they can't expect magic from 'big data'.

- Making models that are robust and easily maintained, vs fragile spaghetti.

But I don't think being good at kaggle implies being bad at data science soft skills. Technical skills are probably weakly correlated -- that's my prior, it would be good to see a study.

I did find a paper examining the performance of TopCoder participants: https://doi.org/10.1007/s10664-019-09755-0