SKILL

senior-data-scientist

世界级数据科学技能,涵盖统计建模、实验设计、因果推断和高级分析。专长包括 Python(NumPy、Pandas、Scikit-learn)、R、SQL、统计方法、A/B 测试、时间序列和商业智能。包含实验设计、特征工程、模型评估和利益相关方沟通。适用于设计实验、构建预测模型、执行因果分析或推动数据驱动决策时。

机器翻译
查看英文原文

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.

适用对象:数据库。自动收录 · 待核查。

原作者说明节选

从固定版本的 SKILL.md 提取,保留原文语言。以下内容属于作者说明,本站尚未验证安装、兼容或运行结果。

查看英文原文

原文涵盖的主题

  • Senior Data Scientist
  • Quick Start
  • Main Capabilities
  • Core Expertise
  • Tech Stack
  • Reference Documentation
  • 1. Statistical Methods Advanced
  • 2. Experiment Design Frameworks

World-class senior data scientist skill for production-grade AI/ML/Data systems. This skill covers world-class capabilities in: Advanced production patterns and architectures Scalable system design and implementation Performance optimization at scale MLOps and DataOps best practices Real-time processing and inference Distributed computing frameworks Model deployment and monitoring Security and compliance Cost optimization Team leadership and mentoring Languages: Python, SQL, R, Scala, Go ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost Data Tools: Spark, Airflow, dbt, Kafka, Databricks LLM Frameworks: LangChain, LlamaIndex, DSPy Deployment: Docker, Kubernetes, AWS/GCP/Azure Monitoring: MLflow, Weights & Biases, Prometheus Databases: PostgreSQL, BigQuery, Snowflake, Pinecone Comprehensive guide available in references/statisticalmethodsadvanced.md covering: Advanced patterns and best practices Production implementation strategies Performance optimization techniques Scalability considerations Security and compliance Real-world case studies Complete workflow documentation in references/experimentdesignframeworks.md including: Step-by-step processes Architecture design pattern

这里只展示节选,请以完整原文和当前要求为准。

来源仓库
davila7/claude-code-templates
源文件
cli-tool/components/skills/development/senior-data-scientist/SKILL.md
固定版本
21be197f100a12b8d0dd9a211cc244c8179f84d3
阅读完整原作者说明 ↗

来源与内容状态

本条为自动发现的元数据,尚未完成人工文档核查;适用性与运行结果待核查。

原作者:davila7/claude-code-templates · 原作者仓库元数据。文档核查:未核查。最近来源检查:2026-11-09T14:01:44.733Z。

分类由名称、说明与路径规则生成,分类不代表已核实适配。

许可与权利归属

MIT。第三方内容及版权归原作者,使用条件以原文为准。

许可原文 ↗

本站没有因同步、复制或用户自报成功而将资源标为运行验证通过。

限制与注意事项

  • 元数据收录不代表本站已经安装、适配、实测或进行安全审查。