Skill-Profil

Hypothesis Testing in ML

Dieser Skill definiert Erwartungen über Rollen und Level.

Machine Learning & AI Classical Machine Learning

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 5 optional

Machine Learning & AI

Classical Machine Learning

22.2.2026

Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.

Was wird auf jedem Level erwartet

Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.

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

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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 Anforderungen

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 Anforderungen

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 Anforderungen

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 Anforderungen

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 Anforderungen

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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