Skill Profile

Data Visualization

This skill defines expectations across roles and levels.

Data Engineering Data Visualization

Roles

where this skill appears

Levels

structured growth path

Mandatory requirements

the other 5 optional

Data Engineering

Data Visualization

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		Creates basic visualizations via matplotlib and seaborn: histograms, scatter plots, box plots, heatmaps. Visualizes feature distributions and correlations for EDA. Builds model metric charts: ROC curve, confusion matrix.

Role	Required	Description
Data Scientist		Creates interactive visualizations via Plotly and Altair for data exploration. Builds informative dashboards in Streamlit for communicating results to stakeholders. Visualizes experiment and A/B test results with confidence intervals.

Role	Required	Description
Data Scientist		Designs visualizations for explaining complex ML models: SHAP plots, partial dependence plots, attention maps. Creates custom visualizations for high-dimensional data via t-SNE/UMAP. Establishes visualization standards for the data science team.

Role	Required	Description
Data Scientist		Defines data and ML results visualization standards for the organization. Establishes report templates for different stakeholders: technical, product, business. Coordinates creation of self-service analytics dashboards.

Role	Required	Description
Data Scientist		Shapes data visualization strategy at organizational level. Defines tools and platforms for ML results visualization. Influences data-driven decision culture through visual communication quality.

Junior 1 requirements

Data Scientist

Creates basic visualizations via matplotlib and seaborn: histograms, scatter plots, box plots, heatmaps. Visualizes feature distributions and correlations for EDA. Builds model metric charts: ROC curve, confusion matrix.

Middle 1 requirements

Data Scientist

Creates interactive visualizations via Plotly and Altair for data exploration. Builds informative dashboards in Streamlit for communicating results to stakeholders. Visualizes experiment and A/B test results with confidence intervals.

Senior 1 requirements

Data Scientist

Designs visualizations for explaining complex ML models: SHAP plots, partial dependence plots, attention maps. Creates custom visualizations for high-dimensional data via t-SNE/UMAP. Establishes visualization standards for the data science team.

Lead / Staff 1 requirements

Data Scientist

Defines data and ML results visualization standards for the organization. Establishes report templates for different stakeholders: technical, product, business. Coordinates creation of self-service analytics dashboards.

Principal 1 requirements

Data Scientist

Shapes data visualization strategy at organizational level. Defines tools and platforms for ML results visualization. Influences data-driven decision culture through visual communication quality.

Loading comments...