Our team is hiring a senior technical leader in the Principal Data Scientist. We are seeking a practitioner with extensive ML/AI product development experience who can drive innovation at scale, guide cross-functional initiatives, and meaningfully contribute to Bitsight's long-term business and technical strategy. Specifically, this role will be in charge of designing and deploying advanced, production-grade ML/AI applications within our AI-driven entity mapping and Graph of Internet Assets (GIA) data engine, leveraging advanced graph technology and ML/AI models to discover complex entity and asset relationships and map internet-connected assets at a global scale.
Responsibilities:
* Identify and drive high-impact ML/AI initiatives that advance Bitsight's broader ML/AI strategy and long-term 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.
* Architect scalable ML/AI components that improve performance and reliability across cloud-based distributed systems.
* Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation.
* Translate ML/AI outcomes into actionable product decisions and collaborate closely with other Stakeholders internally and externally.
* 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.
Requirements:
* Advanced degree in a quantitative field or equivalent industry experience.
* Extensive experience 8+ Years of experience delivering ML-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.
* 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.