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
Provide leadership in communicating complex findings and decisions to technical and non-technical stakeholders, upholding Bitsight’s documentation-driven culture

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

Principal Data Scientist

Key skills