Principal Data Scientist
Há 2 dias
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.
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