[hellogoodbyeeee]

They gave you two weeks to become a data scientist and implement a working solution? That's nuts. I'm still pretty early career, but I have done data science work for about four years now and I wouldve quoted at least two months to figure out data, clean it, feature engineer, run models, compare results, and then deliver the best performing solution.

[tedivm]

And they didn't even have data!

[pletnes]

No data cleaning required. That’s often 80% of a project. So 2 months -> 2 weeks makes sense now!

[JHonaker]

No data is better than 10 years of useless data. I’d much rather be in the position of designing the data collection (experimental design ftw) than trying to fix the problems with an overly complicated modeling project. Buuut, I am a statistician.

In my experience, having someone that knows what they’re doing on the front end of a study design wise can save weeks or months of work on the back end of a study or project.

[speby]

> They gave you two weeks to become a data scientist and implement a working solution? That's nuts.

Oh c'mon. Any large company today and the expectation or deadline for practically anything is "asap" or measured in a few weeks at most. Short-term thinking is a major player in publicly traded companies. Because of that, this is what opens the door for startups to play the long-game.