Match-Begründung
[62/100] | Matching: 5 (+67) | Missing: 3 (-25) | Remote: Yes (+20) | ★(title)=red, ★(context)=yellow, (2x)=count
✓ Passende Stärken
Strong core data science skills (Python, statistical modeling, data visualization, problem-solving, anomaly detection concepts) align well with the technical tasks. Excellent match on remote work, DACH region, and language requirements. Growing skills in SQL and cloud computing are beneficial for system architecture definition.
△ Skill-Lücken
The primary gap is the lack of explicit, direct experience in Fraud Detection and Risk Scoring, which is a central requirement ('mehrjährige Erfahrung im Fraud Detection / Risk Scoring'). While general data science skills are present, practical application in the fraud domain is not detailed, which is crucial for an 'experienced' contractor on a short, focused project.
Analysiert: 2025-11-28