技能档案

Time Series Analysis

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		Understands the fundamentals of Time Series Analysis. Applies basic practices in daily work. Follows recommendations from the team and documentation.

角色	必要性	描述
Data Scientist		Applies advanced time series methods: Prophet, SARIMA, VAR, state space models. Conducts feature engineering for temporal data: lag features, rolling statistics, Fourier features. Uses cross-validation for time series (TimeSeriesSplit).

角色	必要性	描述
Data Scientist		Designs production time series forecasting systems. Applies deep learning for time series: N-BEATS, Temporal Fusion Transformer, DeepAR. Implements probabilistic forecasting with quantile regression. Works with multivariate and hierarchical time series.

角色	必要性	描述
Data Scientist		Defines forecasting strategy for the data science team. Establishes reusable forecasting framework and evaluation standards. Coordinates forecasting platform development for business users and automated systems.

角色	必要性	描述
Data Scientist		Shapes forecasting and temporal analytics strategy at organizational level. Defines investments in forecasting infrastructure, evaluates foundation models for time series. Publishes methodologies and shapes thought leadership.

Junior 1 要求

Data Scientist

Understands the fundamentals of Time Series Analysis. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Middle 1 要求

Data Scientist

Applies advanced time series methods: Prophet, SARIMA, VAR, state space models. Conducts feature engineering for temporal data: lag features, rolling statistics, Fourier features. Uses cross-validation for time series (TimeSeriesSplit).

Senior 1 要求

Data Scientist

Designs production time series forecasting systems. Applies deep learning for time series: N-BEATS, Temporal Fusion Transformer, DeepAR. Implements probabilistic forecasting with quantile regression. Works with multivariate and hierarchical time series.

Lead / Staff 1 要求

Data Scientist

Defines forecasting strategy for the data science team. Establishes reusable forecasting framework and evaluation standards. Coordinates forecasting platform development for business users and automated systems.

Principal 1 要求

Data Scientist

Shapes forecasting and temporal analytics strategy at organizational level. Defines investments in forecasting infrastructure, evaluates foundation models for time series. Publishes methodologies and shapes thought leadership.

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