data-scientist

data-scientist is a Statistical modelling skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates data-scientist D (56/100) and it passed the safety scan; the rating is based on static analysis only.

Data science methodology and method-selection routing for quantitative research. Covers EDA, data validation, descriptive analysis, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP, supervised ML, geospatial analysis, network analysis, and visualization design. Contains the canonical method-to-library routing tree, routed by execution language — Python: statsmodels (OLS/GLM/time series), pyfixest (FE/DiD), linearmodels (RE/GMM/SUR), svy (complex surveys), scikit-learn (clustering/prediction ML), geopandas (spatial), igraph (network analysis); R: r-stats (OLS/GLM/time series), fixest (FE/DiD), plm (panel/RE/IV), survey-r (complex surveys), tidymodels (ML), sf-terra (spatial), igraph-r (network analysis). Load the routed tool-specific skill before giving tool-specific advice or writing code — library skills encode environment constraints and curated caveats absent from general knowledge.

Grade

D

Quality

56 / 100

Safety

Passed

GitHub stars

220

Unproven: rated by static analysis only, not yet compared head-to-head.

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