[cercatrova]

I've found exactly the same experience. Data science is mostly cleaning data in the first place, and the 10% that isn't, it's just fiddling knobs (hyperparameter optimization) to get the model to work.

But man, I can't argue the incredible results it creates. Perhaps that's why people do it, for the ends not the means.

[karmakaze]

That's the difference between research and application. Someone had to first come up with better ways of formulating/training models.

[octodog]

I work in a data science team and I think that motivates a lot of my colleagues. Delivering a product and looking at the massive impact it has on the business is very satisfying.