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Principal Data Scientist

External
bitsight logoBitsight · Remote
Full-timeRemote1w ago
ClassificationData AnalysisDeep LearningDocumentationFeature EngineeringLeadership
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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.

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.
  • 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.
  • Culture. We put our people first. Bitsight offers best in class benefits. We devote the same energy to nurturing our company's inclusive culture as we apply to serving our customers' needs. Working at Bitsight will give you the opportunity to fulfill your professional goals and expand your skills.

Benefits

Vision insuranceRemote work options

Additional Information

Bitsight is a cyber risk management leader transforming how companies manage exposure, performance, and risk for themselves and their third parties. Companies rely on Bitsight to prioritize their cybersecurity investments, build greater trust within their ecosystem, and reduce their chances of financial loss. Built on over a decade of technological innovation, its integrated solutions deliver value across enterprise security performance, digital supply chains, cyber insurance, and data analysis. We invented the cyber ratings industry in 2011 Over 3000 customers trust Bitsight Over 750 teammates are dispersed throughout Boston, Raleigh, New York, Lisbon, Singapore, and remote We are hiring a visionary Principal Data Scientist in a critical senior technical leadership role, to define and execute the future of our ML and AI strategy. Idea candidate is a practitioner with extensive ML/AI product development experience who can accelerate our technological advantage, guide high-stakes cross-functional efforts, and directly influence 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 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.


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