Skill-Profil

Pandas / NumPy

Dieser Skill definiert Erwartungen über Rollen und Level.

Machine Learning & AI Classical Machine Learning

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 5 optional

Machine Learning & AI

Classical Machine Learning

22.2.2026

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Was wird auf jedem Level erwartet

Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.

Rolle	Pflicht	Beschreibung
Data Scientist		Works with pandas DataFrame for loading, cleaning, and analyzing data. Performs basic operations: filtering, grouping, aggregation, merge/join. Uses numpy for mathematical operations and array manipulation. Builds pivot tables and descriptive statistics.

Rolle	Pflicht	Beschreibung
Data Scientist		Efficiently works with large datasets via pandas: chunked processing, dtype optimization, multi-index. Applies numpy vectorized operations for high-performance computing. Uses pandas profiling for automated EDA.

Rolle	Pflicht	Beschreibung
Data Scientist		Designs high-performance data processing pipelines with pandas/numpy. Applies advanced techniques: Cython extensions, numba JIT compilation for numpy. Optimizes memory footprint through chunked processing and memory-mapped arrays for out-of-core computing.

Rolle	Pflicht	Beschreibung
Data Scientist		Defines data handling standards for the data science team. Establishes shared data processing utilities and best practices. Coordinates migration from pandas to distributed frameworks (Dask, Polars, Spark) when needed.

Rolle	Pflicht	Beschreibung
Data Scientist		Shapes data processing stack strategy for the organization. Defines when to use pandas vs Polars vs Spark for different scales. Evaluates emerging tools and their fit for the organization's data science workflow.

Junior 1 Anforderungen

Data Scientist

Works with pandas DataFrame for loading, cleaning, and analyzing data. Performs basic operations: filtering, grouping, aggregation, merge/join. Uses numpy for mathematical operations and array manipulation. Builds pivot tables and descriptive statistics.

Middle 1 Anforderungen

Data Scientist

Efficiently works with large datasets via pandas: chunked processing, dtype optimization, multi-index. Applies numpy vectorized operations for high-performance computing. Uses pandas profiling for automated EDA.

Senior 1 Anforderungen

Data Scientist

Designs high-performance data processing pipelines with pandas/numpy. Applies advanced techniques: Cython extensions, numba JIT compilation for numpy. Optimizes memory footprint through chunked processing and memory-mapped arrays for out-of-core computing.

Lead / Staff 1 Anforderungen

Data Scientist

Defines data handling standards for the data science team. Establishes shared data processing utilities and best practices. Coordinates migration from pandas to distributed frameworks (Dask, Polars, Spark) when needed.

Principal 1 Anforderungen

Data Scientist

Shapes data processing stack strategy for the organization. Defines when to use pandas vs Polars vs Spark for different scales. Evaluates emerging tools and their fit for the organization's data science workflow.

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