AI data scientists in 2026 need eval harnesses, workflow engineering and cost awareness
mdancho84 · x · 2026-07-25
Three skills an AI data scientist needs in 2026
The post argues that the leverage skills for data scientists are shifting toward:
- Evaluation — benchmarks are messy, so you need your own eval harness.
- Workflow engineering — agents and pipelines matter more than simply swapping models.
- Efficiency and cost awareness — inference economics is becoming part of the product.
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