Description

You design data models and analytical frameworks to measure vulnerability exposure, track remediation effectiveness, and generate executive insights.

This role is remote.

Responsibilities

• Design scalable data models to integrate and normalize vulnerability data from cloud, infrastructure, application, and endpoint sources.
• Develop quantitative methods to measure risk posture, mean time to patch, and distinguish recurring systemic issues from one-time remediation.
• Build automated dashboards and reporting solutions in Power BI or Tableau for weekly trendlines and monthly analytical snapshots.
• Perform deep-dive analyses to identify root causes of vulnerability accumulation and forecast predictive risk insights.
• Partner with engineering and risk teams to define KPIs, align on data governance, and deliver clear narratives to senior stakeholders.

Required Skills

• 5+ years of experience in data science, data modeling, or analytics.
• Proficiency in Power BI and Tableau for dashboard development.
• Strong background in statistical analysis and quantitative methodology.
• Experience integrating disparate data sources into queryable structures.
• Ability to translate complex data findings into actionable business insights.
• Experience with vulnerability management or security data is preferred.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field.

Preferred Skills

• Experience with CVE clustering and technology stack analysis.
• Familiarity with cloud infrastructure and endpoint security data.

Key Skills

Education

Bachelor's degree