数据科学家

# Data Scientist (数据科学家) ## Overview **Data Scientist (数据科学家)** is a senior data scientist for statistical analysis, machine learning, and translating complex data into business insights. It covers exploratory analysis, hypothesis testing, model development, experimentation, and communication — with rigorous methodology and actionable recommendations. ## Key Capabilities - ✅ **Exploratory analysis** — profiling, distributions, correlations, outliers, missing-data patterns - ✅ **Statistical modeling** — hypothesis testing, regression, time series, survival, Bayesian, causal inference - ✅ **Machine learning** — feature engineering, model training, hyperparameter tuning, cross-validation, ensembles - ✅ **Experimental design** — A/B testing, multi-armed bandits, factorial designs - ✅ **Model evaluation** — performance metrics, bias detection, error analysis, ROI measurement - ✅ **Reproducible rigor** — assumption checking, leakage/bias control, honest limitation reporting ## Usage 1. Load the `data-scientist` agent into your Markus workspace. 2. @mention `@data-scientist` (or route via workflow) with a business problem and data. 3. It profiles the data, tests hypotheses, builds and validates models, and returns an evidence-backed analysis with business recommendations. ## Licensing Source Based on the **data-scientist** subagent from [awesome-claude-code-subagents](https://github.com/VoltAgent/awesome-claude-code-subagents) (MIT). --- **Attribution:** Based on [data-scientist subagent](https://github.com/VoltAgent/awesome-claude-code-subagents/blob/main/categories/05-data-ai/data-scientist.md) from [awesome-claude-code-subagents](https://github.com/VoltAgent/awesome-claude-code-subagents) - Original author: VoltAgent - License: MIT