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A Career in Data Is Not Always a Straight Line, and That’s Okay

Towards Data Science / 4/28/2026

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Key Points

  • Sabrine Bendimerad argues that flexibility is a crucial skill in data science careers, because career paths are rarely linear.
  • The piece highlights the risk of outsourcing human judgment and thinking to AI agents, emphasizing the need for critical oversight.
  • It discusses how the professional terrain for data roles is changing, requiring adaptability to new tools, workflows, and expectations.
  • Overall, the article frames non-traditional moves and adjustments as acceptable—so long as core analytical thinking is maintained.

Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing human thinking to AI agents, and the changing terrain of career paths today.

The post A Career in Data Is Not Always a Straight Line, and That’s Okay appeared first on Towards Data Science.

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