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Data scientists are increasingly becoming AI builders, shifting roles beyond traditional analysis.

The role of data scientists is evolving beyond traditional analysis and into becoming AI builders. This shift requires them to adopt new skills, moving from a focus on notebooks to a more systems-oriented approach for deploying and managing AI models. The transition involves embracing the complexities of productionizing AI, which often means taking on responsibilities closer to systems architecture. AI

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IMPACT Data scientists are increasingly expected to transition from analytical roles to actively building and deploying AI systems.

RANK_REASON This is an opinion piece discussing the evolving role of data scientists.

Read on Medium — MLOps tag →

Data scientists are increasingly becoming AI builders, shifting roles beyond traditional analysis.

COVERAGE [2]

  1. Medium — MLOps tag TIER_1 · Mouez Yazidi ·

    5 Unspoken Truths About Why Your Data Scientist Role Is Shifting to AI Builder

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@mouez.yazidi2016/5-unspoken-truths-about-why-your-data-scientist-role-is-shifting-to-ai-builder-0c7905ad70c1?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1536/1*coEOB…

  2. Medium — MLOps tag TIER_1 · Mouez Yazidi ·

    5 Unspoken Truths About Why Your Data Scientist Role Is Shifting to AI Builder

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/data-science-collective/5-unspoken-truths-about-why-your-data-scientist-role-is-shifting-to-ai-builder-0c7905ad70c1?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/1536/1…