The Revenge of the Data Scientist
hamel.dev- Category
- Other
- Type
- ARTICLE
- Builder
- @HamelHusain
- Added
- Jul 21, 2026
About
img.img-fluid { border: 1px solid rgba(255, 255, 255, 0.25); border-radius: 4px; } Is the heyday of the data scientist over? The Harvard Business Review once called it “The Sexiest Job of the 21st Century.” 1 In tech, data scientist roles were often among the best paid. 2 The job also demanded an unusual mix of skills: Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician. — JosH100 ( @josh_wills ) May 3, 2012
What it can do
Present an annotated version of a conference talk on data science relevance
Reader visiting the article page → Annotated presentation content with commentary
Explain the evolution of the data scientist and MLE roles in the LLM era
Reader query about data science career trends → Narrative analysis of role changes and job outlook
Argue the case for continued value of data science skills using examples
Reader interested in AI/data science debate → Evidence-based argumentation with concrete examples
Reference external resources on harness engineering
Reader seeking deeper technical background → Recommended blog post links and citations
Describe core data science tasks like experiment setup, debugging stochastic systems, and metric design
Reader wanting to understand what data science work involves → Breakdown of key data science responsibilities
Why it made the leaderboard
Reframes the skills that matter for shipping reliable AI systems — eval design, metric selection, and debugging non-deterministic behavior — showing why 'harness engineering' is fundamentally a data science discipline even when you're just calling an LLM API.
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