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> "Data science is that thing where you do sklearn, Deep Learning and Numpy" is not a working data scientist's perspective. It could be. It's such a broad job
by jstx1 5y ago
> "Data science is that thing where you do sklearn, Deep Learning and Numpy" is not a working data scientist's perspective.
It could be. It's such a broad job title and it looks so different across different companies and teams that the main tool for one data scientist might be something that another data scientist never has to touch. Different data science jobs prioritise different tools, that's all.
- civilized 5y agoRight, so defining data science as 90% sklearn+DL+numpy is just as silly as saying that it's 90% table manipulation. That's exactly my point. Still, if anyone here has managed to find a data science job in which tabular data management is not a sizable piece of what you do, I'd like to know some details!
- mrtranscendence 5y agoI imagine there are data scientists who operate primarily on unstructured rather than tabular data. Part of my current job involves stuff like text classification, and it's not that difficult to imagine someone for whom that's a more sizable proportion of their day-to-day. Still, my suspicion -- at least from my corner of data science -- is that such individuals are rare, and that most data scientists do make use of tabular data more often than not.
- civilized 5y agoI totally get what you mean - I would suspect that when you work with unstructured data, tabular data manipulation is maybe 20-40% of what you do, and when you work with structured data, it's more like 60-80%.
- _Wintermute 5y agoI worked as a datascientist for a couple of years and tabular data was a very small part of my job. I spent far more time with image-analysis and JSON, both of which I found R sucks at.