Match-Begründung
[85/100] | Matching: 14 (+134) | Missing: 7 (-69) | Remote: Yes (+20) | ★(title)=red, ★(context)=yellow, (2x)=count
✓ Passende Stärken
Excellent alignment on core Data Science skills (Python, statistical modeling, ML model development, feature engineering, time series relevant for churn prediction). Experience level (3 years) and remote/location preferences (100% remote, Germany/DACH) are a perfect fit. Good growth opportunity in ML and Cloud.
△ Skill-Lücken
Significant gaps in required platform expertise: 'fundierte Kenntnisse' in Databricks and Apache Spark are critical and not explicitly listed. 'Expertise' in Microsoft Azure Cloud-Services is required, while the candidate has strong general Cloud Computing skills (75-85%). Specific knowledge of SAP and CRM system integration is a clear gap. Lacks explicit prior 'churn prediction focus' experience and 'ideally' energy industry background.
Analysiert: 2025-11-22