Principal Data Scientist
Core
Define and execute the future of ML and AI strategy, designing and deploying advanced production-grade ML/AI applications within an AI-driven asset attribution and Graph of Internet Assets (GIA) data engine.
Role type
Principal Data Scientist (Senior IC with technical leadership)
Builds
Production-grade ML models, automation systems, and scalable ML/AI components for cyber risk management and asset attribution.
Domain
Cybersecurity, threat intelligence, large-scale network analytics, and graph technology.
Deliverable
production ML models
Required skills
Python, SQL, distributed compute environments, cloud platforms, end-to-end ML pipeline development, feature engineering, model monitoring and retraining, cross-functional leadership, strategic planning.
Preferred skills
Deep learning, Graph Neural Networks (GNNs), anomaly detection, probabilistic modeling, cybersecurity domain expertise, ML strategy definition.
Technologies
Python, SQL, cloud platforms, distributed compute environments, graph technology.
Responsibilities
Own ideation and execution of high-impact ML/AI initiatives; Design, build, and deploy production-grade ML models and automation systems; Develop and maintain end-to-end ML pipelines; Serve as principal architect for scalable ML/AI components; Analyze large-scale cybersecurity datasets; Drive integration of ML/AI outcomes into product decisions; Establish best practices for ML/AI development and data quality; Mentor technical contributors.
Seniority
Principal, hands-on IC with strategic leadership
