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.
67
67%
Does it follow best practices?
Impact
68%
1.41xAverage score across 3 eval scenarios
Passed
No findings from the security scan
Fix and improve this skill with Tessl
tessl review fix ./bundled/skills/senior-data-scientist/SKILL.md| Run | Type | Date | Status |
|---|---|---|---|
baseline vs usage-spec With / without contextCompleted | With / without context | Completed |
019cbd4f-f7b3-76b9-ac3d-966cb21f829a
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foryourhealth111-pixel/Vibe-Skills
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