Senior Data Scientist

This is your senior-level data science workhorse for when you need to move beyond notebooks into production ML systems. It covers the full stack from experiment design and causal inference through feature engineering, model deployment, and monitoring. The source material leans heavily on MLOps infrastructure (Kubernetes, MLflow, distributed training) and includes solid references on statistical methods, A/B testing frameworks, and feature engineering patterns. Best for teams building data products at scale rather than exploratory analysis. The production patterns section is genuinely useful if you're setting up real-time inference or automated retraining pipelines.

skills.sh installs: 3.2K
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill senior-data-scientist --agent claude-code

Installs into .claude/skills of the current project.

Files

Senior Data Scientist

World-class senior data scientist skill for production-grade AI/ML/Data systems.

Quick Start

Main Capabilities

# Core Tool 1
python scripts/experiment_designer.py --input data/ --output results/

# Core Tool 2  
python scripts/feature_engineering_pipeline.py --target project/ --analyze

# Core Tool 3
python scripts/model_evaluation_suite.py --config config.yaml --deploy