Scientist vs Engineer and Researcher vs Practitioner - The modern Roles for Data Developers
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Scientist vs Engineer and Researcher vs Practitioner - The modern Roles for Data Developers
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May 6, 2024
Industrial revolution for AI and data → leads to hyperspecialization of roles
Tradition role split: Data Scientist vs Data Engineer
Engineer Role Split: introducing the ML Engineer, Data Analyst and Analytics Engineer
Scientist Role split: Data Scientist (AI) Research vs Applied Data Scientist
Most companies don’t do AI research. Only a few tech giants or companies with higly specialiced products (Google, Facebook, OpenAI, Netflix) generates new state of the art models and techniques. Research Scientist
Most companies are “practicioners”. Take developed research and ideas and apply them to their domain → Applied Scientist. This has intersection with the traditional role of ML Engineer, but without the engineering knowledge to productionize ML applications
