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> Data engineers don't work with machine learning at all. This very much depend on the company. From experience DE is used as a catch-all title.
by omega3 4y ago
> Data engineers don't work with machine learning at all.
This very much depend on the company. From experience DE is used as a catch-all title.
- jstx1 4y agoData scientist is much more catch-all from what I've seen. But a lot of that varies a lot by geography too (for example in the US people very often use DS very differently from how the title is used in the UK).
- pinum 4y ago>in the US people very often use DS very differently from how the title is used in the UK I haven't heard about this before and now I'm curious- can you elaborate on the differences?
- jstx1 4y agoIn the US it's more common for data scientist to be similar to a product analyst or a data analyst perhaps with better technical skills. In the UK data scientist is more likely to be someone who is doing applied ML work (other titles for this are ML engineer or applied data scientist). Obviously it's not a perfectly clean separation but it's a trend, and people sometimes end up really talking past each other. You can see on r/datascience which is very US-heavy how people often recommend to beginners not to bother with advanced ML, stick to SQL, basic Python and analytics, and in the UK data science job market that's outright bad advice (it's fine advice for the UK analytics market which is a separate thing).
- jghn 4y agoThis. "Data Engineering" is pretty far from having a standard definition in the wild. If someone is describing a role as "data engineering" about the only thing you can count on being true is that it involves data.
- tomrod 4y agoI haven't come across that. Unless the job title is being polluted like DS was (to include all aspects of data management), DE is specifically about data pipelines and not the models generating those clusters, predictions, or classifications.