Lead Data Scientist, Cyber Security Operations Center

Leadout Capital; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Leadout Capital seeks a Lead Data Scientist to shape AI-driven security analytics for its cybersecurity program. You will define the data science strategy, architect scalable detection models, and partner with threat intelligence and engineering teams to deploy production-grade solutions.

The role demands deep ML expertise, leadership experience, and the ability to communicate complex insights to executives and engineers alike. Expect a high-impact, cloud-scale environment.

Qualifications

• 8+ years of industry experience in applied data science, machine learning, or AI engineering (or 6+ years with a relevant Master’s or Ph.D.).
• 3+ years in a technical leadership capacity owning project lifecycles from ideation to production.
• Deep expertise in applied statistics, probability, and advanced machine learning techniques (deep learning, sequence modeling, anomaly detection, NLP/LLMs).
• Experience architecting and deploying ML pipelines and models over large-scale datasets (multi-terabyte or petabyte scale).
• Production-level programming skills in Python, Java, or Scala, along with fluency in big data frameworks (Spark, PySpark, Flink) and modern MLOps ecosystems.
• Proven track record of guiding cross-functional technical decisions and mentoring engineering and data science team members.
• Exceptional strategic communication skills, with the ability to influence technical roadmaps and articulate complex concepts to leadership.

Responsibilities

• Define the technical vision, methodology, and roadmap for data science and AI-driven detection capabilities within CSOC.
• Architect, build, and oversee the execution of proofs-of-concept for novel threat detection models, ensuring seamless transition into high-throughput, scalable production software.
• Lead partnerships with incident response, threat intelligence, detection engineering, and product security teams to identify detection gaps and model evolving adversary behavior.
• Champion, design, and maintain enterprise AI-driven capabilities, including agentic monitoring systems, automated threat correlation, and continuous model feedback loops.
• Mentor senior and junior data scientists, establish best practices for code quality, model governance, testing, and ML pipeline reliability.
• Translate complex machine learning models and security signals into actionable insights and strategic proposals for security leadership, engineers, and non-technical stakeholders.

Skills

Technical Leader & Strategist

Innovator & Architect

Force Multiplier

Executive Communication

Tools

Python/Java/Scala

Spark PySpark Flink

Job description

Leadout Capital seeks a Lead Data Scientist to shape AI-driven security analytics for its cybersecurity program. You will define the data science strategy, architect scalable detection models, and partner with threat intelligence and engineering teams to deploy production-grade solutions.

The role demands deep ML expertise, leadership experience, and the ability to communicate complex insights to executives and engineers alike. Expect a high-impact, cloud-scale environment.