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Which of the Five Types of Data Science Does Your Startup Need?
A taxonomy of the five types of data science a startup might need — product analytics, business intelligence, growth, ML/AI, and research. Useful framing for understanding that 'data scientist' is not one job.
A Taxonomy of Data Science
Hilary Mason and Chris Wiggins' 2010 taxonomy of data science roles and skills, organized around the OSEMN framework: Obtain, Scrub, Explore, Model, iNterpret. One of the earliest attempts to define what data science actually comprises as a discipline.
