Brown University faculty argue that AI is changing data science by automating technical tasks like coding and prototyping. This shift increases the value of human skills such as problem framing, validation, and governance. Employers now prioritize candidates who can evaluate AI output and communicate findings effectively. The article highlights that technical foundations remain essential for auditing AI-generated work. It also notes that career pathways are expanding into policy, product management, and solutions architecture.
Read the full story at masters.brown.edu.
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