---
esco_uri: http://data.europa.eu/esco/skill/5f0082ab-2131-49b5-94d6-a1821daf57d6
esco_label: "apply for research funding"
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
---

# apply for research funding — Data Scientist

For a Data Scientist, 'apply for research funding' isn’t just about writing academic papers; it's often tied to securing resources for *applied* research projects – proving the value of new data science techniques or building innovative solutions for specific business problems. This means crafting proposals that demonstrate ROI, not just statistical significance. Typical tasks include identifying internal (company R&D budgets) and external funding opportunities (government grants like NSF/NIH if applicable to healthcare/biotech, industry-sponsored challenges, venture capital for startup ideas), then translating a data science project’s technical details into compelling narratives focused on impact – cost savings, revenue generation, improved efficiency. Tools used are proposal writing software (often collaborative platforms like Google Docs or Microsoft Word with version control), budget spreadsheets, and increasingly, visual storytelling tools to communicate complex analyses.

## Weitere Anreicherung

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