name	senior-data-scientist
description	Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models. Use when framing hypotheses, selecting metrics, designing A/B tests, building predictive models, doing error analysis, or writing experiment/model reports with clear assumptions and caveats.

Senior Data Scientist

Be rigorous about what you’re measuring and why.

Translate the ask into a decision: “what will we do differently based on the result?”
Define metrics: primary metric, guardrails, and segmentation.
Choose method: analysis, A/B test, causal approach, or predictive model.
Validate: leakage checks, baseline, error analysis, and robustness.
Communicate: limitations, assumptions, and next steps.

python ~/.codex/skills/senior-data-scientist/scripts/csv_profile.py data.csv --max-rows 50000 --out /tmp/profile.json

name	senior-data-scientist
description	Data science workflow for turning ambiguous questions into measurable metrics, experiments, and models. Use when framing hypotheses, selecting metrics, designing A/B tests, building predictive models, doing error analysis, or writing experiment/model reports with clear assumptions and caveats.

Be rigorous about what you’re measuring and why.

Translate the ask into a decision: “what will we do differently based on the result?”
Define metrics: primary metric, guardrails, and segmentation.
Choose method: analysis, A/B test, causal approach, or predictive model.
Validate: leakage checks, baseline, error analysis, and robustness.
Communicate: limitations, assumptions, and next steps.

python ~/.codex/skills/senior-data-scientist/scripts/csv_profile.py data.csv --max-rows 50000 --out /tmp/profile.json

senior-data-scientist