Impact is seeking a Principal Data Scientist specializing in fraud modeling to join their Cape Town team. The role involves developing and deploying machine learning models to detect and prevent fraud in their affiliate marketing ecosystem
Job Summary
Develop and deploy ML models to detect and prevent fraud across attribution, lead quality, and partner compliance.
Conduct R&D on fraud detection and risk monitoring, including attribution fraud, lead fraud, and browser extension abuse.
Partner with MLOps and Engineering to ensure models are robust, scalable, and production-ready, and communicate findings to stakeholders.
Matching Summary
Match Score: 85
Impact is seeking a Principal Data Scientist specializing in fraud modeling to join their Cape Town team. The role involves developing and deploying machine learning models to detect and prevent fraud in their affiliate marketing ecosystem.
Skills & Requirements
Must-have
Develop and deploy ML models for fraud detection
Research fraud patterns in digital advertising
Graph-based fraud detection techniques
Production ML model deployment and iteration
Strong Python and SQL skills
Experience with imbalanced datasets
Nice-to-have
Adversarial thinking and anticipating evasion tactics
Pragmatic delivery and iterative improvement
Business impact orientation and measurable outcomes
Comfort with ambiguity and defining roadmaps
Experience in affiliate marketing or ad tech fraud
Key Requirements
5+ years in data science, ML, or advanced analytics
2+ years focused on fraud detection or risk modeling
Bachelor's in a quantitative field; Master's/PhD preferred