Skill Profile

Hypothesis Testing in ML

This skill defines expectations across roles and levels.

Machine Learning & AI Classical Machine Learning

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 5 optional

Machine Learning & AI

Classical Machine Learning

2/22/2026

Choose your current level and compare expectations. The items below show what to cover to advance to the next level.

What is Expected at Each Level

The table shows how skill depth grows from Junior to Principal. Click a row to see details.

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

Role	Required	Description
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.

Role	Required	Description
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.

Role	Required	Description
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.

Role	Required	Description
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 requirements

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 requirements

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 requirements

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 requirements

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 requirements

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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