Lead technical development of production ML risk signals and features from high-scale device, network, browser, and behavioral telemetry to detect fraud and identity risk at Socure. Requires 12+ years experience, advanced degree, and expertise in adversarial domains, feature engineering, and model validation.
Develop ML features, models, and risk signals from device, network, browser, and behavioral telemetry to improve fraud detection and identity verification. Requires 5+ years in data science/applied ML, strong Python/SQL skills, and experience with noisy telemetry and production ML workflows.
Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.
Lead technical development of production ML risk signals and features from high-scale device, network, browser, and behavioral telemetry to detect fraud and identity risk at Socure. Requires 12+ years experience, advanced degree, and expertise in adversarial domains, feature engineering, and model validation.
Develop ML features, models, and risk signals from device, network, browser, and behavioral telemetry to improve fraud detection and identity verification. Requires 5+ years in data science/applied ML, strong Python/SQL skills, and experience with noisy telemetry and production ML workflows.
Lead a team of data scientists and analysts to conduct rigorous research into fraud patterns, adversarial networks, and emerging attack typologies. Translate complex findings into actionable insights for product, models, and strategy, and represent Socure externally as a thought leader in fraud and identity.
Staff Data Scientist designs and deploys advanced deep learning models for fraud detection and risk management, leading ML lifecycle and mentoring peers. Requires 8+ years experience, Master's/PhD, and expertise in Python, PyTorch, and diverse data modalities.