Senior Security Data Scientist

Join Illumio, a leader in cybersecurity, as a Senior Security Data Scientist. In this role, you will analyze large-scale security datasets, build threat risk models, and collaborate with product teams to shape features and strategic direction. You will have the opportunity to impact how global organizations defend against advanced cyber threats.

• Examine large-scale security datasets to identify threat patterns, attacker TTPs, and emerging risks.
• Construct and iterate on threat risk models using statistical and machine learning methods to evaluate breach likelihoods.
• Work with threat researchers and engineers to enhance datasets, test hypotheses, and develop detection algorithms based on real-world threats.
• 5+ years of experience in data science, detection engineering, threat intelligence, or security analytics, ideally in dynamic environments like cloud or network security
• Proficiency in Python for data handling and modeling (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch), complemented by solid SQL skills for large dataset queries
• Hands-on experience developing and deploying ML or statistical models for security applications, such as anomaly detection or risk assessment
• Preferred Qualifications
• Threat detection principles and frameworks (e.g., MITRE ATT&CK)
• Experience productionizing ML models in cloud environments (e.g., AWS, GCP, Kubernetes)
• Skill in communicating technical insights to diverse audiences, from engineers to product leaders
• Experience with large-scale telemetry datasets from varied sources
• Knowledge of graph databases and analytics (e.g., Neo4j, graph algorithms applied to security)
• Network security fundamentals, including zero-trust and segmentation concepts
• 7-10+ years in the field, with a track record in high-impact security roles
• Security telemetry sources (e.g., EDR, NDR, AWS or Azure flow logs, AWS GuardDuty, Azure Defender data, etc)
• Proven ability to evaluate models, tune parameters, and manage challenges like imbalanced data in security scenarios
• Background at a cybersecurity product company (e.g., in endpoint, SIEM, or network security)
• Expertise in identity threats or integrating threat intel APIs
• Familiarity with Bay Area cybersecurity ecosystems or prior work in tech hubs
• Publications, open-source contributions, or certifications (e.g., CISSP, GIAC, advanced ML certs)
• Committed to ethical practices in AI and eager to thrive in a vibrant, talent-rich environment
• Collaborative, influential, and results-oriented, focused on delivering tangible value to protect customers
• Passionate about cybersecurity, with a pragmatic approach to balancing detection accuracy and usability
• A data-driven thinker who excels in ambiguous settings and tests hypotheses rigorously