Sr. Data Scientist (Hybrid)
Core
Design, build, and deploy advanced AI systems to analyze and prioritize millions of security events per second for anomaly detection, event classification, and automated security reasoning.
Role type
Senior IC AI/ML Architect & Data Scientist (Security)
Builds
AI-powered security operations platform, retrieval/ranking systems, agentic AI workflows
Domain
Cybersecurity, AI/ML, Distributed Systems
Deliverable
production ML models | product features
Required skills
Large-scale AI/ML architecture, Semantic retrieval & vector search, LLMs & RAG, Anomaly detection, Distributed systems engineering, Model evaluation & experimentation, Go/Python/SQL, Security analytics (MITRE/UEBA)
Preferred skills
Agentic AI & multi-agent systems, Knowledge graphs, Causal inference, Published research in AI/ML
Technologies
Python, Go, SQL, Spark, Kafka, S3, Iceberg, Parquet, Kubernetes, Model Serving, Feature Stores
Responsibilities
Lead architecture for large-scale retrieval, ranking, and vector search systems; Own end-to-end AI/ML lifecycle from data pipelines to monitoring; Define technical strategy for AI-driven reasoning and investigation; Mentor junior scientists and drive cross-functional initiatives; Communicate technical trade-offs to executive stakeholders
Seniority
Senior, hands-on IC with technical leadership
