Eugene Yan • 8/9/2020

Unpopular Opinion: Data Scientists Should be More End-to-End

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The article advocates for data scientists to adopt an end-to-end approach, covering problem framing, data engineering, ML modeling, and deployment. It discusses the drawbacks of over-specialization, the benefits of increased context and ownership, and references practices from companies like Stitch Fix and Netflix.

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#full stack #Data Engineering #Mlop
Unpopular Opinion: Data Scientists Should be More End-to-End

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