---
esco_uri: http://data.europa.eu/esco/skill/2de4572a-4724-4f76-afc2-72a568a264ac
esco_label: "speak different languages"
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
---

# speak different languages — Data Scientist

For a Data Scientist, 'speaking different languages' isn’t about fluency in French or Spanish – it’s about mastering the *languages of data* and translating between them. This means proficiency in SQL for database interaction (essential daily), Python/R for analysis & modeling (core tools), and potentially Scala/Java if working with big data frameworks like Spark. Beyond code, it's understanding 'business language': being able to clearly articulate technical findings to stakeholders who don’t understand p-values or algorithms. A typical task might involve extracting data using SQL, cleaning/transforming it in Python, building a model, *and then* explaining the results and recommendations in plain English (or another relevant business language) to marketing or sales teams.

## Weitere Anreicherung

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