Is it due to the tech recession?
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We know that in many companies Data Scientists are Product Analytics \/ Data Analysts. I thought it was because MLEs had absorbed the duties of DSs, but i have noticed that this may not be exactly the case.<\/p>\n
There are basically three distinct roles:<\/p>\n
Data Analyst \/ Product Analytics: dashboards, data analysis, A\/B testing.<\/p>\n<\/li>\n
MLE: build machine learning systems for user-facing products (e.g., Stripe\u2019s fraud detection or YouTube\u2019s recommendation algorithm).<\/p>\n<\/li>\n
DS: use ML and advanced techniques to solve business problems and make forecasts (e.g., sales, growth, churn).<\/p>\n<\/li>\n<\/ol>\n
This last job is not done by MLEs, it has simply been eliminated by some companies in the last few years (but a lot of tech companies still have it).<\/p>\n
For example Stripe used to hire DSs specifically for this function and LinkedIn profiles confirm that those people are still there doing it, but now the new hires consist only of Data Analysts.<\/p>\n
It\u2019s hard to believe that in a world increasingly driven by data, a role focused on predictive decision making would be seen as completely useless.<\/p>\n
So my question is: is this mostly the result of the tech recession? Companies may now prioritize \u201cessential\u201d roles that can be filled at lower costs (Data Analysts) while removing, in this difficult economy, the \u201cluxury\u201d roles (Data Scientists).<\/p>\n<\/p><\/div>\n
submitted by \/u\/FinalRide7181 <\/a>
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