Own the ideation and execution of high-impact ML/AI initiatives that directly advance Bitsight's product strategy and technical roadmap.
Design, build, and deploy production-grade ML models and automation systems that support critical business features.
Develop and maintain end-to-end ML pipelines, including data extraction, feature engineering, training, evaluation, deployment, monitoring, and automated feedback and retraining loops.
Serve as the principal architect for scalable, high-performance ML/AI components within our cloud-based distributed systems.
Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation.
Drive the integration of ML/AI outcomes, translating complex findings into clear, actionable product decisions for engineering and business stakeholders.
Establish and promote best practices for ML/AI development, model operations, and data-quality standards.
Mentor technical contributors across teams, elevating technical quality and accelerating development.

M.S. or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent practical experience.
Extensive experience (8+ Years for Principal level) delivering ML/AI-powered product features from concept to production.
Expertise in Python, SQL, distributed compute environments, and cloud platforms.
Demonstrated ability to lead complex ML/AI initiatives driving business impact.
Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership.
Proven capability to bring structure to ambiguous problem spaces and drive them toward actionable, high-impact outcomes.
Preferred: Experience with advanced ML techniques such as deep learning, GNNs, anomaly detection, or probabilistic modeling.
Preferred: Background in cybersecurity, threat intelligence, or large-scale network analytics.

Principal Data Scientist

Key skills