---
esco_uri: http://data.europa.eu/esco/skill/31c69100-b612-4a61-8db5-fd314318854c
esco_label: "execute analytical mathematical calculations"
relation: essential
onet_soc: 15-2051.00
source: model-knowledge
confidence: high
qa_count: 0
generator: gemma3:27b (prompt-designed and spot-checked by Claude)
generated: 2026-07-10
---

# execute analytical mathematical calculations — Data Scientist

For a Data Scientist, 'executing analytical mathematical calculations' isn’t about doing calculus by hand; it's about *reliably* applying the right math to extract insights from data. Daily tasks involve things like calculating descriptive statistics (mean, standard deviation, percentiles) for exploratory data analysis, implementing linear algebra operations (matrix multiplication, decompositions) for model building and dimensionality reduction, and understanding probability distributions for statistical inference and A/B testing. You'll be constantly using these calculations to validate assumptions, evaluate model performance (RMSE, R-squared, AUC), and quantify uncertainty.

## Weitere Anreicherung

Stage-2 source for future practitioner grounding: arXiv cs.LG/stat.ML (ML preprints).
