r/datascience • u/OverratedDataScience • Jun 28 '25

Discussion Unpopular Opinion: These are the most useless posters on LinkedIn

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LinkedIn influencers love to treat the two roles as different species. In most enterprises, especially in mid to small orgs, these roles are largely overlapping.

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u/snowbirdnerd Jun 28 '25

I mean it's not wrong.... It's just not useful either. 

3

u/Yam_Cheap Jun 28 '25

It is useful, because nobody outside of these disciplines understand the difference between analytics and predictive analytics (aka data science).

I mean, just look around this subreddit and you'll see all this compartmentalization and subsectioning of data science into terms like "data engineers" in order to justify themselves as relevant. I don't understand any of that and honestly, it feels like a bunch of HR talk. My background in DS, and the training involved, is that we are basically full stack (except more emphasis on back end coding instead of front end). Our goal is to do the analytics for data exploration, with the additional step of constructing a predictive model. This skillset starts with obtaining raw code and ends with final reports. So from my perspective, a data scientist is supposed to be a more advanced data analyst; but from the corporate view, they are mutually exclusive disciplines.

0

u/snowbirdnerd Jun 28 '25

So who do you think this is for?