Illumio
Sr. Security Data Scientist
Sunnyvale, California - HQ · Senior
Sponsorship not specifiedDetected 71 days ago
PythonAlgorithmsSQLAWSGCPAzureCloud PlatformsKubernetesMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceCybersecurityNetwork SecuritySIEMDetection EngineeringZero TrustResearchLeadershipCommunicationCollaboration
About the role
- Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience.
- Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
Responsibilities
- Work with threat researchers and engineers to enhance datasets, test hypotheses, and develop detection algorithms based on real-world threats.
- Assess and refine model performance to deliver reliable detections with low false positives
- Hands-on experience developing and deploying ML or statistical models for security applications, such as anomaly detection or risk assessment.
- Proven ability to evaluate models, tune parameters, and manage challenges like imbalanced data in security scenarios.
Requirements
- 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.
- Experience with large-scale telemetry datasets from varied sources.
Nice to have
- 7-10+ years in the field, with a track record in high-impact security roles.
- Knowledge of graph databases and analytics (e.g., Neo4j, graph algorithms applied to security).
- Experience productionizing ML models in cloud environments (e.g., AWS, GCP, Kubernetes).
- Background at a cybersecurity product company (e.g., in endpoint, SIEM, or network security).
- Expertise in identity threats or integrating threat intel APIs
- Publications, open-source contributions, or certifications (e.g., CISSP, GIAC, advanced ML certs).
- Familiarity with Bay Area cybersecurity ecosystems or prior work in tech hubs.
- A data-driven thinker who excels in ambiguous settings and tests hypotheses rigorously.
Skills
- ONWARDS TOGETHER!
- 4 ON-SITE DAYS A WEEK IN SUNNYVALE, CA HEADQUARTERS.
Benefits
- Construct and iterate on threat risk models using statistical and machine learning methods to evaluate breach likelihoods and segmentation efficacy.
Company info
- Examine large-scale security datasets to identify threat patterns, attacker TTPs (Tactics, Techniques, and Procedures), and emerging risks.
- Utilize security graphs to model attack paths, recommend segmentation strategies to reduce the risk of lateral movement, and suggest mitigation strategies.
- Create ML models for anomaly detection, behavioral profiling, and breach identification across multi-cloud, hybrid, and on-premises setups.
- Team up with product managers, engineers, and designers to integrate threat insights into roadmaps, user interfaces, and analytics tools.
- Advise on threat assessment frameworks, data needs, and incorporating external
- intelligence sources.Deploy and monitor models in production, ensuring scalability and reliability.
- Investigate cutting-edge techniques for graph-based threat detection, like graph neural networks or AI-optimized policies.
- Contribute to internal research, patents, and potential publications to position Illumio as an industry leader.
- Track adversary trends, regulatory shifts, and innovations to influence our detection and risk strategies.
- Threat detection principles and frameworks (e.g., MITRE ATT&CK).
- Security telemetry sources (e.g., EDR, NDR, AWS or Azure flow logs, AWS GuardDuty, Azure Defender data, etc).
- Network security fundamentals, including zero-trust and segmentation concepts.
- Skill in communicating technical insights to diverse audiences, from engineers to product leaders.
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