Skill Profile

Statistical Analysis

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		Conducts descriptive statistics and basic statistical data analysis. Calculates measures of central tendency, variance, and correlations. Builds confidence intervals and conducts basic statistical tests via scipy.stats.

Role	Required	Description
Data Scientist		Applies advanced statistical analysis: regression analysis, ANOVA, non-parametric tests, survival analysis. Conducts power analysis for experiment planning. Uses statsmodels for regression and time series decomposition.

Role	Required	Description
Data Scientist		Designs statistical frameworks for data science teams. Applies advanced methods: causal inference, mixed effects models, GAMs. Conducts simulation studies for methodology validation. Establishes statistical rigor standards for ML research.

Role	Required	Description
Data Scientist		Defines statistical analysis standards for the organization. Establishes guidelines for applying statistical methods to different business tasks. Coordinates statistical consulting for product and data science teams.

Role	Required	Description
Data Scientist		Shapes statistical thinking culture at organizational level. Defines strategy for applying statistical methods to business decision-making. Publishes methodological works, trains the organization in statistical literacy.

Junior 1 requirements

Data Scientist

Conducts descriptive statistics and basic statistical data analysis. Calculates measures of central tendency, variance, and correlations. Builds confidence intervals and conducts basic statistical tests via scipy.stats.

Middle 1 requirements

Data Scientist

Applies advanced statistical analysis: regression analysis, ANOVA, non-parametric tests, survival analysis. Conducts power analysis for experiment planning. Uses statsmodels for regression and time series decomposition.

Senior 1 requirements

Data Scientist

Designs statistical frameworks for data science teams. Applies advanced methods: causal inference, mixed effects models, GAMs. Conducts simulation studies for methodology validation. Establishes statistical rigor standards for ML research.

Lead / Staff 1 requirements

Data Scientist

Defines statistical analysis standards for the organization. Establishes guidelines for applying statistical methods to different business tasks. Coordinates statistical consulting for product and data science teams.

Principal 1 requirements

Data Scientist

Shapes statistical thinking culture at organizational level. Defines strategy for applying statistical methods to business decision-making. Publishes methodological works, trains the organization in statistical literacy.

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