• Build, evaluate, and deploy machine learning models for cybersecurity risk scoring, threat intelligence, and vendor risk assessment. • Perform exploratory data analysis and identify patterns, trends, and anomalies in large and complex datasets. • Evaluate and validate models, ensuring their accuracy, robustness, and scalability. • Collaborate with product managers and engineers to define data science requirements and integrate models into production systems. • Contribute to code reviews, design discussions, and data science best practices. • Stay current on new research and technologies to ensure we leverage state-of-the-art methods. • Communicate findings and recommendations effectively to both technical and non-technical audiences.