Principal Data Scientist

Bitsight

19h•$180,000 - $205,000

About The Position

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. They invented the cyber ratings industry in 2011 and are trusted by over 3000 customers. Bitsight is hiring a visionary Principal Data Scientist for a critical senior technical leadership role to define and execute the future of their ML and AI strategy. The ideal candidate is a practitioner with extensive ML/AI product development experience who can accelerate technological advantage, guide high-stakes cross-functional efforts, and directly influence Bitsight's long-term business and technical strategy. This role specifically involves designing and deploying advanced, production-grade ML/AI applications within Bitsight's AI-driven asset attribution and Graph of Internet Assets (GIA) data engine, leveraging advanced graph technology and ML/AI models to discover complex organization and asset relationships and map internet-connected assets at a global scale.

Requirements

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.

Nice To Haves

Experience with advanced ML techniques such as deep learning, GNNs, anomaly detection, or probabilistic modeling.
Experience defining or influencing ML/AI practices and strategies across the business, particularly for Principal-level candidates.
Background in cybersecurity, threat intelligence, or large-scale network analytics.

Responsibilities

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.