Staff Data Scientist
Core
Develop predictive cyber risk models, maintain Security Ratings and Risk Vector methodologies, and translate analytical solutions into scalable production systems.
Role type
Staff Data Scientist (Cybersecurity Risk)
Builds
Cybersecurity risk assessment models, Security Ratings, and Risk Vector scoring systems
Domain
Cybersecurity, Risk Management, Data Science
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Predictive Modeling, Model Validation, Python, SQL, Git, Big Data (Spark/Hadoop), AWS, Data Visualization, AI-assisted development tools
Preferred skills
PhD in Quantitative Science, Experience modeling risk for rare events, Peer-reviewed literature analysis
Technologies
Python, R, SQL, Git, Spark, Hadoop, AWS, Claude Code, Cursor, GitHub Copilot
Responsibilities
Research and implement statistical/ML methodologies for risk assessment; Maintain and enhance scoring methodologies; Explore new data sources to improve models; Develop scalable code for models and pipelines; Monitor model performance and investigate anomalies; Communicate technical concepts to stakeholders.
Seniority
Staff, hands-on IC with mentorship
