---
esco_uri: http://data.europa.eu/esco/skill/4fabca9a-7435-4f33-b1da-3cdb00340fdc
esco_label: "perform scientific research"
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
---

# perform scientific research — Data Scientist

For a Data Scientist, 'performing scientific research' isn’t about lab coats and beakers; it's the systematic investigation of *data* to uncover meaningful insights and build reliable predictive models. Daily this manifests as formulating hypotheses (e.g., 'feature X strongly correlates with outcome Y'), designing experiments – often A/B tests or controlled data analyses – to test those hypotheses, and rigorously evaluating results using statistical methods. It's about going beyond simply *applying* algorithms; it’s understanding *why* they work (or don’t) in a specific context. Think feature importance analysis, error analysis of model predictions, or investigating unexpected data distributions.

## Weitere Anreicherung

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