Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.
Build and maintain fraud detection models and financial risk products through full data science lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), advanced ML/stats skills, and PhD preferred.
Build and maintain fraud detection ML models and financial risk products with end-to-end ownership. Requires 4+ years experience (or 6+ with Masters), advanced degree, strong ML/stats skills, production coding, and domain interest in fraud/identity.
Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.