---
esco_uri: http://data.europa.eu/esco/skill/4216e465-7baa-4884-a241-54b197bb9278
esco_label: "perform data mining"
relation: optional
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
---

# perform data mining — Data Scientist

For a Data Scientist, 'performing data mining' isn’t just running algorithms; it's about *investigative problem solving*. Daily work involves taking messy, real-world datasets – often from multiple sources (databases, APIs, logs) – and formulating questions that can be answered through pattern discovery. This means going beyond pre-defined reports. You might be tasked with identifying customer segments for targeted marketing, detecting fraudulent transactions, predicting equipment failure, or understanding feature importance in a model. It's heavily iterative: exploring data visually (using tools like Tableau/PowerBI initially), then using scripting languages (Python/R) and libraries (Pandas, Scikit-learn, dplyr) to clean, transform, and apply statistical techniques or machine learning algorithms.

## Weitere Anreicherung

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