Agent skill · data analytics · aiskillstore
senior-data-scientist
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.
Why this skill is useful
Adds 3 executable scripts for experiment design, feature engineering, and model evaluation that enhance AI's capabilities in data science workflows.
What it needs
Requires python installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Senior Data Scientist World-class senior data scientist skill for production-grade AI/ML/Data systems. Quick Start Main Capabilities Core Expertise 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 Tech Stack 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 Reference Documentation 1. Statistical Methods Advanced 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 2. Experiment Design Frameworks Complete workflow documentation in references/experimentdesignframeworks.md including: Step-by-step processes Architecture design patterns Tool integration guides Performance tuning strategies Troubleshooting procedures 3. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/senior-data-scientist--950cc0