Senior Data Scientist

Be rigorous about what you’re measuring and why.

Quick Start

• 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.

Optional tool: quick CSV profiling (no pandas)

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

References

• Experiment report template: references/experiment-report.md