Skill-Profil

Experiment Design

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

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		Understands the fundamentals of Experiment Design. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Rolle	Pflicht	Beschreibung
Data Scientist		Designs complex experiments: multi-variant tests, sequential testing, stratified randomization. Applies causal inference methods: difference-in-differences, instrumental variables. Calculates minimum detectable effect and plans experiment duration.

Rolle	Pflicht	Beschreibung
Data Scientist		Designs experimentation platforms for systematic A/B testing of ML models. Applies advanced methods: switchback experiments, cluster randomization, synthetic control. Establishes guardrail metrics and early stopping rules for safe experiments.

Rolle	Pflicht	Beschreibung
Data Scientist		Defines experimentation culture in the data science team. Establishes experiment design standards and review processes. Coordinates experimentation platform development and integration with ML pipelines.

Rolle	Pflicht	Beschreibung
Data Scientist		Shapes experimentation strategy at organizational level. Defines investments in experimentation infrastructure. Publishes methodological research on experiment design in ML contexts.

Junior 1 Anforderungen

Data Scientist

Understands the fundamentals of Experiment Design. Applies basic practices in daily work. Follows recommendations from the team and documentation.

Middle 1 Anforderungen

Data Scientist

Designs complex experiments: multi-variant tests, sequential testing, stratified randomization. Applies causal inference methods: difference-in-differences, instrumental variables. Calculates minimum detectable effect and plans experiment duration.

Senior 1 Anforderungen

Data Scientist

Designs experimentation platforms for systematic A/B testing of ML models. Applies advanced methods: switchback experiments, cluster randomization, synthetic control. Establishes guardrail metrics and early stopping rules for safe experiments.

Lead / Staff 1 Anforderungen

Data Scientist

Defines experimentation culture in the data science team. Establishes experiment design standards and review processes. Coordinates experimentation platform development and integration with ML pipelines.

Principal 1 Anforderungen

Data Scientist

Shapes experimentation strategy at organizational level. Defines investments in experimentation infrastructure. Publishes methodological research on experiment design in ML contexts.

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