---
esco_uri: http://data.europa.eu/esco/skill/ff64e9fc-36dd-4035-872a-83aa41dc1ad9
esco_label: "communicate with a non-scientific audience"
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
---

# communicate with a non-scientific audience — Data Scientist

As a Data Scientist, 'communicating with a non-scientific audience' isn’t about *dumbing down* your work; it's about translating complex analytical results into actionable insights for stakeholders who likely don't understand statistical significance or machine learning algorithms. Daily this means presenting findings to marketing teams (explaining customer segmentation), product managers (justifying feature prioritization based on A/B test data), or executives (summarizing key performance indicators and trends). Tools go beyond standard presentation software – think interactive dashboards (Tableau, Power BI) allowing self-exploration, concise reports with clear visualizations, and even short explainer videos. It's about *storytelling* with data, not just showing numbers.

## Weitere Anreicherung

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