What are the different tracks for LinkedIn data scientist? I heard most DS at LinkedIn are focused on product analytics, while there is a track focused more on ML, is that true? Is this track building out the models or just doing AB tests to analyze model result?
How do you distinguish which track is which based on the job listing name? Or is it something they do internally?
Yeah from the title. There is a track implicitly called DS Algo and inference
Does anyone know if taking the skills assessments matter for getting callbacks at LinkedIn?
SWE - Machine Learning is what you’re looking for
I know there is SWE - ML, which is focused on building ML models. But I also heard there is a DS - Algorithms track. Not sure about the difference between those two.
The biggest difference is Swe-ml works on consumer faxing products. Ds-algo works on internal products. (mostly) DS-Algo works a lot on building out new methodologies for the other DS track to use. Eg Algo will create a new statistical methodology and turn it into a nice package so the product analytics folks can apply it more easily in their work.