Data Scientist with AuthAI

• Design and implement machine learning models for authentication, fraud detection, and cybersecurity threat prediction • Develop advanced behavioral analytics solutions to detect anomalies in user authentication and access patterns • Collaborate with cybersecurity teams to integrate AI-driven solutions into security platforms and workflows • Research and implement cutting-edge techniques in AuthAI, including deep learning for identity verification and continuous authentication • Build and maintain scalable data pipelines for security event monitoring and threat detection • Conduct data experiments to assess new authentication methods, biometrics, and risk-based models • Interpret and present insights to senior stakeholders to support data-driven decision-making in cybersecurity strategies • Ensure all models, methods, and solutions comply with data privacy regulations and organizational security standards Requirements • Strong proficiency in machine learning, deep learning, and data science tools (Python, R, TensorFlow, PyTorch, Scikit-learn) • Expertise in AuthAI technologies such as biometrics, continuous authentication, and identity risk scoring • Solid understanding of cybersecurity principles, including intrusion detection, anomaly detection, encryption, and access management • Experience with threat intelligence platforms, SIEM tools, and security data analysis • Knowledge of cloud platforms (AWS, Azure, or GCP) with security and data services • Familiarity with data engineering workflows, including ETL, big data (Spark, Hadoop), and cybersecurity log analysis • Strong problem-solving ability with a focus on risk mitigation and predictive analytics • Excellent communication skills for collaboration with both technical and non-technical stakeholders