Match-Begründung
[82/100] | Matching: 6 (+77) | Missing: 1 (-9) | Ratio Bonus: (+14) | Remote: No | ★(title)=red, ★(context)=yellow, (2x)=count
✓ Passende Stärken
Strong fit for the core data science tasks: Python, SQL, data preparation, and applied AI/ML methods (forecasting, classification, anomaly detection). Meets the 1-2 years experience requirement.
△ Skill-Lücken
Lacks professional SAS experience and a formal degree in Computer Science, Statistics, or Business Informatics (holds M.Sc. Biology).
Analysiert: 2026-11-11