Especially like the antiparallel structure of scientific inquiry and engineering design.
Data science can be defined as either the intersection or union of software engineering and statistics. In recent years, the field seems to be gravitating towards the broader unifying definition, where everyone who touches data in some way can call themselves a data scientist. Hence, while many people whose job title is Data Scientist do very useful work, the title itself has become fairly useless as an indication of what the title holder actually does. This post briefly discusses how we got to this point, where I think the field is likely to go, and what data scientists can do to remain relevant.
The many definitions of data science
About two years ago, I published a post discussing the definition of data scientist by Josh Wills, as a person who is better at statistics than any software engineer and better at software engineering than any statistician. I still…
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