Richie CottonSenior Data Evangelist, DataCamp · Ask me about data and AI upskilling

The Evolution of Data Science Hiring

Name: The Evolution of Data Science Hiring
Uploaded: 2026-04-29T14:01:08+00:00
Duration: 22 s
Channel: Richie Cotton
Description: In this brief segment, the speaker observes the rapid progression of the data field, noting that early data scientists were primarily statisticians or…

29 Apr 2026 · 0 min

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In this brief segment, the speaker observes the rapid progression of the data field, noting that early data scientists were primarily statisticians or quantitative social scientists who focused on regression analysis and causal inference. The speaker contrasts this with contemporary hiring practices, which now prioritize candidates' experience handling large datasets, indicating a shift in the skill set valued by employers.

Data as a field has, has progressed so quickly. I mean, faster than really any other field. But then at the time, you know, data scientists were really basically statisticians. So, you know, I think a lot of data scientists were quantitative social scientists running regressions, doing a lot of causal inference. Obviously now I wouldn't like look at a candidate if they didn't have experience with large datasets.