(USA) Senior, Data Scientist
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The role
Develop and deploy risk mitigation models using machine learning, anomaly detection, and statistical methods to identify emerging risk trends on the marketplace.
Analyze risk patterns by exploring large datasets to uncover fraud tactics, behavioral anomalies, and business exposure.
Build predictive models (supervised and unsupervised) to power scalable risk detection systems in real time.
Lead deep-dive analytics to inform risk policy, product decisions, or operational strategies.
Integrate agentic AI frameworks to support semi-autonomous risk detection that adapts to evolving fraud patterns.
Design and execute experiments (A/B tests, validations) and monitor model performance with clear communication to stakeholders.
Analyze risk patterns by exploring large datasets to uncover fraud tactics, behavioral anomalies, and business exposure.
Build predictive models (supervised and unsupervised) to power scalable risk detection systems in real time.
Lead deep-dive analytics to inform risk policy, product decisions, or operational strategies.
Integrate agentic AI frameworks to support semi-autonomous risk detection that adapts to evolving fraud patterns.
Design and execute experiments (A/B tests, validations) and monitor model performance with clear communication to stakeholders.
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