Perfil de habilidad

Data Visualization

Esta habilidad define expectativas en roles y niveles.

Data Engineering Data Visualization

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 5 opcionales

Data Engineering

Data Visualization

22/2/2026

Selecciona tu nivel actual y compara las expectativas.

Qué se espera en cada nivel

La tabla muestra cómo crece la profundidad desde Junior hasta Principal.

Rol	Obligatorio	Descripción
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.

Rol	Obligatorio	Descripción
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.

Rol	Obligatorio	Descripción
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.

Rol	Obligatorio	Descripción
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.

Rol	Obligatorio	Descripción
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 requisitos

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 requisitos

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 requisitos

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 requisitos

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 requisitos

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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