Related skills
sql python kubernetes machine learning time series📋 Description
- Work with large, complex datasets to analyze fraud cases
- Build, validate, and optimize ML models for fraud detection
- Research data patterns to predict fraudulent transactions
- Enhance models with advanced algorithms and techniques
- Develop visualizations for stakeholder insights
- Collaborate with business, engineers, and stakeholders
🎯 Requirements
- Advanced degree in Statistics, Mathematics, Computer Science, Engineering, or related fields
- Strong knowledge of statistical techniques (regression, time series, feature selection)
- Proficiency in SQL and Excel
- Strong programming skills in Python (3.7+)
- Hands-on experience with ML techniques (clustering, decision trees, boosting)
- Experience deploying classification and regression models at enterprise scale
🎁 Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote
- Global, fast-paced, collaborative environment
- Strong learning and internal career opportunities
- Commitment to AI, cloud and innovation
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