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Are LinkedIn data scientists mainly working on analytics, AB testing, or ML modeling? I heard there are two tracks for LinkedIn DS, one for analytics and one for ML, is that true? And how to distinguish them from JD?
My experience with ds is that they’re more analytics focused. Any product ML is run by MLEs
Thanks
Can you explain the difference?
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My experience with ds is that they’re more analytics focused. Any product ML is run by MLEs
Thanks
Can you explain the difference?