Skill-Profil

Data Visualization

Dieser Skill definiert Erwartungen über Rollen und Level.

Data Engineering Data Visualization

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 5 optional

Data Engineering

Data Visualization

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		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.

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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.

Rolle	Pflicht	Beschreibung
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 Anforderungen

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 Anforderungen

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 Anforderungen

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 Anforderungen

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 Anforderungen

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.

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