TechBiz Global
Recruitment • Software Development • Consulting
TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.
51 - 200 employees
🎯 Recruiter
Computer Vision Data Scientist, Receipt Fraud
Job not on LinkedIn
November 25
TechBiz Global
Recruitment • Software Development • Consulting
TechBiz Global is a leading recruitment and software development company that specializes in connecting businesses with top-tier talent across 28+ countries. They serve clients from startups to major enterprises, providing expertise in hiring key roles in industries such as FinTech. In addition to talent acquisition, TechBiz Global offers comprehensive software development services to turn clients' visions into reality, powering digital transformations with expert engineers. The company also provides strategic CTO consulting services and flexible outstaffing and outsourcing solutions, helping businesses manage growth and optimize technology processes. Recognized as a top IT recruitment and consulting firm, TechBiz Global is dedicated to delivering personalized and innovative solutions to its clients, ensuring they have the tools necessary for success.
51 - 200 employees
🎯 Recruiter
đź“‹ Description
• Analyze large-scale receipt data for fraud patterns and anomalies. • Develop statistical methods to detect subtle inconsistencies in receipt data. • Design feature engineering strategies combining OCR, visual embeddings, and behavioral signals. • Build and optimize ML models for fraud detection using collected data points. • Develop fraud scoring algorithms that combine multiple detection signals and model outputs. • Implement threshold optimization strategies balancing precision and recall for different risk levels. • Design comprehensive fraud scoring systems. • Develop weighted scoring mechanisms adaptive to fraud types and retailer patterns. • Create interpretable scoring frameworks for manual review teams.
🎯 Requirements
• 4+ years as a data scientist with experience in fraud detection. • Strong expertise in hypothesis testing, time series, and anomaly detection. • Hands-on experience with classification, ensemble methods, and deep learning (scikit-learn, XGBoost, PyTorch/TensorFlow). • Computer Vision - Strong experience with image processing and embedding, specifically EfficientNet and FAISS, is a plus. • Experience with high-volume transaction processing and real-time decision systems. • Knowledge of retail/e-commerce fraud patterns preferred. • Familiarity with document fraud techniques and anti-fraud methodologies.
🏖️ Benefits
• Cutting-edge tech stack including GenAI and ML • A global team with diverse perspectives • Flexible remote work • Opportunity to influence product direction and company growth
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