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AI-Native Data Science Ladder

The competency framework for data scientists in AI-native organizations

This framework evaluates data scientists across 8 dimensions and 4 levels (DS1 through DS4). It replaces traditional data science ladders with one built for a world where foundation models, LLM-generated features, and AI-assisted analysis reshape the entire analytical workflow. Leaders use it to assess skills like hybrid analytical frameworks, foundation model integration, responsible AI governance, and AI product impact measurement.

8 Dimensions

Select a dimension to explore the progression across levels.

Statistical Reasoning & AI Foundations

Applying classical statistical methods alongside foundation model capabilities with principled tradeoffs between interpretability and performance.

DS1 — Data Scientist

Applies classical statistical methods alongside foundation model capabilities, understanding when each is appropriate and how probabilistic AI outputs differ from deterministic statistical tests.

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Want the full framework with all expectations and examples?

The complete assessment tool includes 3 detailed expectations and 3-4 real-world examples per level per dimension — plus guided evaluation, growth plans, and team analytics.

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