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EER Poland
Computer Vision Data Scientist
Remote · Poland · Full time · Mid level
About the role
Analyze large-scale receipt data to detect fraud patterns and develop machine learning models for fraud detection. Design comprehensive fraud scoring systems and optimize detection algorithms.
What you’ll do
• Analyze large-scale receipt data for fraud patterns. • Develop statistical methods for detecting inconsistencies. • Build and optimize ML models for fraud detection. • Design fraud scoring algorithms combining multiple signals. • Implement threshold optimization for risk balancing.
What you’ll bring
• 4+ years as data scientist with fraud detection experience. • Expertise in hypothesis testing and anomaly detection. • Experience with classification, ensemble methods, deep learning. • Strong computer vision skills with EfficientNet and FAISS a plus. • Knowledge of retail/e-commerce fraud patterns preferred.
Life at EER Poland
Cutting-edge tech stack including GenAI and ML. Global diverse team. 100% remote work. Influence product direction and growth.