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name: senior-data-scientist description: Use when World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics.

Senior Data Scientist

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions. — One of 337+ skills in Ali Reza's multi-agent claude-skills collection (Claude, Codex, Gemini, Hermes; ~19k stars).

What you get

• Public GitHub repo (alirezarezvani/claude-skills)
• the senior-data-scientist skill folder with SKILL.md. Part of a 337-skill / 30-agent / 70-command install.

Customize your output

• Fork the repo and adapt the skill's instructions and references to your workflow.

Example output

Activates automatically when your request matches Senior Data Scientist; chains with the other skills, agents, and commands in the collection.

Best for

Creators, builders, and teams using Claude Code.