[gran_colombia]

If you work primarily on synthetic data as a data scientist, you deserve to get fired. The link is pretty cool though.

[lettergram]

The argument is you can design a model, check that it runs, then submit the job to train / evaluate the model on real data. The data scientist doesn't necessarily need to touch the real data ever (especially if ML is used).

[tomrod]

This is not a great setup if one requires a model that can extrapolate.