Principal Data Scientist

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 functional initiatives, and meaningfully contribute to Bitsight’s term business and technical strategy. Specifically, this role will be in charge of designing and deploying advanced, 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 connected assets at a global scale.

Responsibilities

- Identify and drive impact ML/AI initiatives that advance Bitsight’s broader ML/AI strategy and term technical roadmap.
- Design, build, and deploy grade ML models and automation systems that support critical business features.
- Develop and maintain 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 based distributed systems.
- Analyze 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 quality standards.
- Mentor technical contributors across teams, elevating technical quality and accelerating development.
- Provide leadership in communicating complex findings and decisions to technical and technical stakeholders, upholding Bitsight’s 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 functional stakeholders and leadership.
- Proven capability to bring structure to ambiguous problem spaces and drive them toward actionable, impact outcomes.

Preferred

- Experience defining or influencing ML/AI practices and strategies across the business, particularly for Principal-level candidates.
- Background in cybersecurity, threat intelligence, or scale network analytics.

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