Lead Data Scientist - Risk Intelligence & AI

📋 Description

• Design and implement data-driven risk scoring and prioritization across SaaS security signals.
• Lead the development of AI-powered product capabilities, including agentic and LLM-based features that support investigation, triage, and security operations workflows.
• Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended.
• Contribute to approaches that assess the potential scope and impact of security issues.
• Establish evaluation methods to measure model quality, effectiveness, and reliability over time.
• Incorporate product usage signals and feedback to guide continuous improvement of ML and AI systems.

🎯 Requirements

• 7–10+ years of experience as a Data Scientist, Applied Scientist, or Machine Learning Engineer, with ownership of production systems.
• Strong background in statistical modeling, machine learning, and applied decision systems.
• Experience designing and shipping ML- or AI-driven product features used by customers.
• Experience applying ML or AI to decision-making systems that influence user workflows or automated outcomes.
• Experience designing or contributing to agent-like or automated workflows, including reasoning about task decomposition, tool usage, or control flow.
• Demonstrated ability to design guardrails and human-in-the-loop mechanisms for automated or AI-assisted actions.

🎁 Benefits

• Stock options
• Home office stipend
• Generous paid time off and holidays
• Paid parental leave and sick time
• Health insurance (medical, dental, and vision) with HSA
• 401(k) and Roth retirement saving accounts