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My hot take (as a DS of 12 years): data scientist was always a over-hyped title and led many to unrealistic expectations. I think we will see a rise of data-inf
by stevenae 3y ago
My hot take (as a DS of 12 years): data scientist was always a over-hyped title and led many to unrealistic expectations. I think we will see a rise of data-inflected product managers (this is what I am already seeing), as IMO data scientists are most effective at scoping problems and pioneering solutions, not scaling them.
- tomrod 3y agoI don't think it's a hot take among us practitioners. I view in terms of "how many capabilities are needed in the radar chart?" Systematic MLOps helped to decrease _some_ of that, but not nearly enough, and certainly not with the recent explosion of LLM-induced hype. I view MLOps engineers and ML engineers as tasked with scaling the problems, and research scientists as the scoping and pioneering of solutions. All three fall under the larger umbrella we call "Data Science" IMHO.
- SoftTalker 3y agoI've always thought that the suffix "Scientist" on any title in a software company was likely more hype than reality. Unless the company is really doing science.
- garciasn 3y agoThe problem as I have witnessed it during my 15+ years of experience in the field as a DE by trade leading DEs, PM, ProdMs, and DSs is that even if you have DSs, The Business does NOT want to do what is required for the actual and reliable science. Thus, we end up with a significantly weakened analysis plan and execution. Much to the disappointment of everyone involved.