---
esco_uri: http://data.europa.eu/esco/skill/cc61f9e5-d4fc-470e-8606-1ce865ff8386
esco_label: "develop professional network with researchers and scientists"
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
---

# develop professional network with researchers and scientists — Data Scientist

For a Data Scientist, 'developing a professional network with researchers & scientists' isn’t about collecting LinkedIn connections; it's crucial for staying current *and* solving complex problems. Daily work often hits roadblocks requiring specialized domain knowledge (e.g., interpreting medical imaging data, understanding financial modeling nuances). Your network becomes your rapid access to that expertise – quickly finding someone who’s already tackled a similar challenge or can validate your approach. Think proactively reaching out to authors of papers you cite, attending relevant conferences (NeurIPS, KDD, domain-specific events), and participating in online forums like Stack Overflow or specialized Slack/Discord communities.

## Weitere Anreicherung

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