Senior Data Scientist

Overview

Build end-to-end data science workflows from data exploration through model deployment. This skill covers data preprocessing, feature engineering, model selection, hyperparameter tuning, cross-validation, experiment tracking with MLflow/W&B, statistical testing, visualization with matplotlib/seaborn/plotly, and Jupyter notebook best practices.

Announce at start: "I'm using the senior-data-scientist skill for data science workflow."

Phase 1: Data Understanding

Goal: Profile the dataset and establish a baseline before any modeling.

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