Data Science Lead, RQ - Remote

Overview

This role offers a unique opportunity to lead advanced data science initiatives in the field of cyber risk and threat intelligence.

In Short

• Lead the design, implementation, and deployment of statistical and probabilistic models for threat likelihood, loss magnitude, and control effectiveness.
• Curate, expand, and maintain cyber risk datasets including loss events, CVE/KEV data, and MITRE ATT&CK mappings.
• Mentor and guide a team of data scientists while balancing hands-on modeling with leadership responsibilities.
• Collaborate with Product, Engineering, and Threat Intelligence teams to operationalize models.
• Research and apply advanced AI/ML techniques to enhance model accuracy and automation.
• Ensure model transparency, governance, and explainability for customer and regulatory review.
• Document model assumptions, methodologies, and best practices.

Requirements

• Experience in data science and statistical modeling.
• Strong understanding of cyber risk and threat intelligence.
• Proficiency in AI/ML techniques.
• Leadership experience in guiding teams.
• Excellent communication skills for collaboration.
• Ability to document and explain complex models.

Benefits

• Opportunity to lead innovative projects.
• Collaborative work environment.
• Impact on risk management solutions.
• Mentorship and growth opportunities.