---
esco_uri: http://data.europa.eu/esco/skill/79e29b8b-47d1-470d-b7b1-32506bfe7d9a
esco_label: "collect ICT data"
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
---

# collect ICT data — Data Scientist

For a Data Scientist, 'collecting ICT data' isn’t just downloading CSVs; it's about strategically *acquiring* the right information from diverse digital sources to answer specific business questions. Daily tasks involve writing SQL queries against databases (PostgreSQL, MySQL, Snowflake are common), using APIs (REST, GraphQL) to pull data from SaaS platforms like Google Analytics or Salesforce, and web scraping with tools like Beautiful Soup or Scrapy when direct access isn't available.  It also means understanding *how* that data is generated – what tracking mechanisms are in place, potential biases in collection methods, and the limitations of each source.

## Weitere Anreicherung

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