---
esco_uri: http://data.europa.eu/esco/skill/988f4ac3-a37c-4b0a-a40f-4e0e56b5919e
esco_label: "promote the transfer of knowledge"
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
---

# promote the transfer of knowledge — Data Scientist

For a Data Scientist, 'promoting knowledge transfer' isn’t about formal tech transfer offices – it’s woven into *how* you deliver insights. It means translating complex statistical findings and machine learning models into actionable recommendations for stakeholders who likely aren’t data experts (marketing, product managers, executives). This manifests in tasks like creating clear visualizations with tools like Tableau or Power BI, writing non-technical summaries of model performance, and proactively explaining *why* a certain algorithm was chosen over another. It's about bridging the gap between technical output and business understanding.

## Weitere Anreicherung

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