技能档案

Jupyter Notebooks

此技能定义了各角色和级别的期望。

Machine Learning & AI Classical Machine Learning

角色数

包含此技能的角色

级别数

结构化成长路径

必要要求

其余 5 个可选

Machine Learning & AI

Classical Machine Learning

2026/2/22

选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。

各级别期望

表格展示从初级到首席的技能深度变化。点击行查看详情。

角色	必要性	描述
Data Scientist		Works in Jupyter Notebook/Lab for EDA, model prototyping, and result visualization. Structures notebooks with markdown descriptions, creates reproducible experiments. Uses magic commands and extensions for productivity.

角色	必要性	描述
Data Scientist		Effectively uses JupyterLab for the full ML cycle: from EDA to model evaluation. Applies papermill for parameterized notebook runs, nbconvert for report generation. Configures kernels for various environments and projects.

角色	必要性	描述
Data Scientist		Designs notebook-based workflows for team data science collaboration. Integrates notebooks with MLflow, DVC, and CI/CD. Establishes notebook development standards: templates, code quality checks, reproducibility. Creates reusable notebook components.

角色	必要性	描述
Data Scientist		Defines notebook development infrastructure for the data science team. Coordinates JupyterHub setup, resource and access management. Establishes processes for transitioning from notebook prototypes to production code.

角色	必要性	描述
Data Scientist		Shapes interactive computing platform strategy for the organization. Defines enterprise notebook infrastructure: JupyterHub, Databricks, SageMaker notebooks. Evaluates cloud vs on-premise and security requirements for data science.

Junior 1 要求

Data Scientist

Works in Jupyter Notebook/Lab for EDA, model prototyping, and result visualization. Structures notebooks with markdown descriptions, creates reproducible experiments. Uses magic commands and extensions for productivity.

Middle 1 要求

Data Scientist

Effectively uses JupyterLab for the full ML cycle: from EDA to model evaluation. Applies papermill for parameterized notebook runs, nbconvert for report generation. Configures kernels for various environments and projects.

Senior 1 要求

Data Scientist

Designs notebook-based workflows for team data science collaboration. Integrates notebooks with MLflow, DVC, and CI/CD. Establishes notebook development standards: templates, code quality checks, reproducibility. Creates reusable notebook components.

Lead / Staff 1 要求

Data Scientist

Defines notebook development infrastructure for the data science team. Coordinates JupyterHub setup, resource and access management. Establishes processes for transitioning from notebook prototypes to production code.

Principal 1 要求

Data Scientist

Shapes interactive computing platform strategy for the organization. Defines enterprise notebook infrastructure: JupyterHub, Databricks, SageMaker notebooks. Evaluates cloud vs on-premise and security requirements for data science.

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