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@af0b992
by Daniel Aviladavila7/claude-code-templates32k stars
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World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

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Use this Skill: https://skilld.dev/gh/davila7/claude-code-templates/senior-data-scientist

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referencesexperiment_design_frameworks.md

≈359 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Experiment Design Frameworks

Overview

World-class experiment design frameworks for senior data scientist.

Core Principles

Production-First Design

Always design with production in mind:

  • Scalability: Handle 10x current load
  • Reliability: 99.9% uptime target
  • Maintainability: Clear, documented code
  • Observability: Monitor everything

Performance by Design

Optimize from the start:

  • Efficient algorithms
  • Resource awareness
  • Strategic caching
  • Batch processing

Security & Privacy

Build security in:

  • Input validation
  • Data encryption
  • Access control
  • Audit logging

Advanced Patterns

Pattern 1: Distributed Processing

Enterprise-scale data processing with fault tolerance.

Pattern 2: Real-Time Systems

Low-latency, high-throughput systems.

Pattern 3: ML at Scale

Production ML with monitoring and automation.

Best Practices

Code Quality

  • Comprehensive testing
  • Clear documentation
  • Code reviews
  • Type hints

Performance

  • Profile before optimizing
  • Monitor continuously
  • Cache strategically
  • Batch operations

Reliability

  • Design for failure
  • Implement retries
  • Use circuit breakers
  • Monitor health

Tools & Technologies

Essential tools for this domain:

  • Development frameworks
  • Testing libraries
  • Deployment platforms
  • Monitoring solutions

Further Reading

  • Research papers
  • Industry blogs
  • Conference talks
  • Open source projects

Source: SKILL.md on GitHub

Third-party checks

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  • Gen Agent Trust Hub16d

    The skill provides boilerplate tools and reference markdown documentation for a data science workspace. The embedded python scripts contain boilerplate code templates with safe command-line parsing, logging, and execution patterns. No security anomalies, obfuscation, or suspicious code patterns were detected.

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  • Snyk16d

    Risk: LOW · No issues

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  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

Signed by skilld at af0b992. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 10 months ago

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