Scientist vs Engineer and Researcher vs Practitioner - The modern Roles for Data Developers

Scientist vs Engineer and Researcher vs Practitioner - The modern Roles for Data Developers

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date
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
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