Domäne
Machine Learning & AI
Skill-Profil
Dieser Skill definiert Erwartungen über Rollen und Level.
Rollen
1
wo dieser Skill vorkommt
Stufen
5
strukturierter Entwicklungspfad
Pflichtanforderungen
0
die anderen 5 optional
Machine Learning & AI
Classical Machine Learning
22.2.2026
Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.
Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Conducts descriptive statistics and basic statistical data analysis. Calculates measures of central tendency, variance, and correlations. Builds confidence intervals and conducts basic statistical tests via scipy.stats. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Applies advanced statistical analysis: regression analysis, ANOVA, non-parametric tests, survival analysis. Conducts power analysis for experiment planning. Uses statsmodels for regression and time series decomposition. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Designs statistical frameworks for data science teams. Applies advanced methods: causal inference, mixed effects models, GAMs. Conducts simulation studies for methodology validation. Establishes statistical rigor standards for ML research. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Defines statistical analysis standards for the organization. Establishes guidelines for applying statistical methods to different business tasks. Coordinates statistical consulting for product and data science teams. |
| Rolle | Pflicht | Beschreibung |
|---|---|---|
| Data Scientist | Shapes statistical thinking culture at organizational level. Defines strategy for applying statistical methods to business decision-making. Publishes methodological works, trains the organization in statistical literacy. |