3 ms·
The specialized part is kind of true to some extent but that's getting bogged down into job titles - data analyst, applied scientist, ML engineer, research scie
by jstx1 4y ago
The specialized part is kind of true to some extent but that's getting bogged down into job titles - data analyst, applied scientist, ML engineer, research scientist - some of these are used more often because "data scientist" is too broad and can mean a bunch of different things. But titles, schmitles - the point is that the skills are still very relevant.
And I'm not seeing anything getting automated.
- parpfish 4y agoAgreed. The title data scientist is probably going to go away and be replaced with more specific titles you've listed above. IMO, the emergence of specializations is a good thing because a) it means the data field (and the tools it uses) are maturing and b) you can have a more focused career trajectory instead of feeling the pressure to learn EVERYTHING
- deleted 4y ago[deleted]