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Jul 23, 2019

I feel like Data Science is the most nebulous and I think the smart people avoid it because it often gets watered down by non-engineers, much less scientists. The others I think actually make sense and describe a fairly specific role.

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and

+1 Data Science typically implies analysts doing some statistical analysis, but not as a product. ML engineer implies building production quality systems using ML. Data engineering usually involves facilitating the intake and queries for large amounts of data.

4:33 PM · Jul 23, 2019Twitter for Android

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There is another term that I see these days: "ML scientist". This is usually jobs involving experimenting with creating models and prediction systems that then get implemented by someone else in production or is for internal use only.