Staff Data Scientist

Staff Data Scientist Securonix is leading the transformation of cybersecurity by helping organizations stay ahead of modern threats.  Security teams are no longer constrained by data or tools. They are constrained by speed, clarity, and confidence. Securonix was built to close that gap. Our mission is to enable security teams to decide and act faster across the entire threat lifecycle. The Securonix Unified Defense SIEM is the industry’s first platform powered by agentic AI and designed with a human-in-the-loop philosophy. It unifies detection, investigation, and response in a single system. Advanced UEBA delivers deep behavioral insight across users, entities, and data. Native threat intelligence continuously enriches detections and investigations with real-world context. AI reinforces every layer of the platform while keeping accountability with the security team. Built cloud-native for scale and performance, the platform enables real-time analytics, deep investigation, and automated response without compromise. Analysts gain faster access to relevant signals. Investigations move from days to minutes. Response becomes consistent and measurable. The result is a CyberOps experience that scales as threats evolve. Securonix is recognized as a six-time Leader in the Gartner Magic Quadrant for SIEM and a Customers’ Choice on Gartner Peer Insights. The company has been featured by leading publications including WIRED, Dark Reading, and Fortune for its innovation and leadership in security operations. Organizations rely on the platform for always-available data, rapid search and investigation, continuously updated threat content, and a fully integrated Threat Detection, Investigation, and Response experience. Backed by Vista Equity Partners, one of the world’s leading enterprise software investors, Securonix benefits from deep operational expertise and a long-term commitment to innovation and growth. This partnership strengthens our ability to scale the platform, accelerate product execution, and support customers as their security needs evolve. With more than 1,000 customers worldwide, including a meaningful portion of the Fortune 100, Securonix operates at global scale. Our ecosystem of partners and managed security service providers extends that reach, helping organizations deploy and operate with confidence wherever they do business. What drives us is how we work. We win as one team. We operate with trust, respect, and shared accountability. We are customer driven. Innovation is guided by real security challenges and measurable outcomes. We act with agility. Change is constant, and we stay aligned on purpose while adapting fast. That focus is how Securonix helps organizations move from reactive security to proactive, autonomous operations. Job Overview: We’re seeking a Staff Data Scientist to architect Agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build Agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and Agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices. Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline. Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerized with Docker and Kubernetes. Monitor models and infrastructure through CloudWatch, Pro ... (truncated, view full listing at source)