Lead Data Scientist (Risk Intelligence & AI)

TL;DR

Lead Data Scientist (Risk Intelligence & AI): Defining and building machine-learning-driven risk scoring, prioritization, and AI-powered security workflows for a SaaS security platform with an accent on statistical modeling, modern AI techniques, and explainable decision logic. Focus on designing, building, and operationalizing ML and AI systems that are explainable, reliable, and safe to deploy in production, assisting customers with investigation, triage, and response.

Location: San Francisco Bay Area, CA

Salary: $215,000–$260,000 USD

Company

hirify.global is a product company that prevents SaaS data breaches by delivering end-to-end SaaS security through its platform.

What you will do

• Design and implement data-driven risk scoring and prioritization approaches across SaaS security signals.
• Lead the development of AI-powered product capabilities, including agentic and LLM-based features.
• Define and evolve explainable decision logic so customers understand why issues are prioritized or actions are recommended.
• Establish evaluation methods to measure model quality, effectiveness, and reliability over time.
• Monitor and continuously improve ML and AI systems in production by incorporating usage signals and feedback.
• Partner with Product and Engineering to operationalize models and shape AI-driven user experiences.

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.
• Familiarity with LLMs and agent-based approaches, with practical awareness of reliability, safety, and evaluation considerations.
• Experience in security, identity, fraud, or risk modeling domains.

Culture & Benefits

• Collaborative and supportive team focused on Trust, Transparency, Quality, Customer Focus, and Delivery.
• Certified by Great Place to Work®, fostering an inclusive environment where all employees feel appreciated and supported.
• Comprehensive total rewards package including base salary, stock options, and commitment to pay equity.
• Benefits include: home office stipend, generous paid time off, paid company holidays, paid parental leave, paid sick time, and paid family leave.
• Health insurance: medical, dental, and vision with HSA option, company-provided life insurance, AD&D, STD/LTD.
• 401(k) and Roth retirement saving accounts, and a monthly wellness benefit reimbursement.