Perfil de habilidad

Hypothesis Testing in ML

Esta habilidad define expectativas en roles y niveles.

Machine Learning & AI Classical Machine Learning

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 5 opcionales

Machine Learning & AI

Classical Machine Learning

22/2/2026

Selecciona tu nivel actual y compara las expectativas.

Qué se espera en cada nivel

La tabla muestra cómo crece la profundidad desde Junior hasta Principal.

Rol	Obligatorio	Descripción
Data Scientist		Understands the fundamentals of Hypothesis Testing in ML. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Rol	Obligatorio	Descripción
Data Scientist		Applies specialized statistical tests for ML tasks: bootstrap hypothesis testing, permutation tests, multiple comparison correction (Bonferroni, FDR). Calculates confidence intervals for ML metrics. Conducts statistical significance testing of models.

Rol	Obligatorio	Descripción
Data Scientist		Designs frameworks for statistical validation of ML models. Applies sequential testing, always-valid confidence intervals for continuous monitoring. Uses causal inference: propensity score matching, regression discontinuity for ML impact assessment.

Rol	Obligatorio	Descripción
Data Scientist		Defines statistical validation standards for the data science team. Establishes guidelines for test selection, sample size calculation, and result interpretation. Coordinates statistical infrastructure development for ML experiments.

Rol	Obligatorio	Descripción
Data Scientist		Shapes statistical literacy culture in the organization. Defines evidence-based decision-making standards. Publishes methodological works on statistical testing in ML contexts, trains the organization.

Junior 1 requisitos

Data Scientist

Understands the fundamentals of Hypothesis Testing in ML. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Middle 1 requisitos

Data Scientist

Applies specialized statistical tests for ML tasks: bootstrap hypothesis testing, permutation tests, multiple comparison correction (Bonferroni, FDR). Calculates confidence intervals for ML metrics. Conducts statistical significance testing of models.

Senior 1 requisitos

Data Scientist

Designs frameworks for statistical validation of ML models. Applies sequential testing, always-valid confidence intervals for continuous monitoring. Uses causal inference: propensity score matching, regression discontinuity for ML impact assessment.

Lead / Staff 1 requisitos

Data Scientist

Defines statistical validation standards for the data science team. Establishes guidelines for test selection, sample size calculation, and result interpretation. Coordinates statistical infrastructure development for ML experiments.

Principal 1 requisitos

Data Scientist

Shapes statistical literacy culture in the organization. Defines evidence-based decision-making standards. Publishes methodological works on statistical testing in ML contexts, trains the organization.

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