The role of a data scientist, once lauded as the "sexiest job of the 21st century," has significantly evolved and specialized over the past decade. This evolution has led to the emergence of distinct roles such as applied scientist, research scientist, and machine learning engineer, each with unique goals and skill sets. This specialization is partly driven by companies rebranding existing analytical roles to attract talent, blurring the lines between traditional data analysis and more advanced modeling and algorithmic development. AI
RANK_REASON This is an opinion piece by a named individual discussing the evolution and specialization of data science roles.
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