Data Scientist -- AWADC5818278

• Job Title: Data Scientist – Cybersecurity -- AWADC5818278
• Experience Level: Level 4 (7-15 Years of experience)
• Location: Remote – EST Support required

JOB SUMMARY

We are seeking a Data Scientist to design and implement advanced analytics methodologies for measuring, trending, and generating insights across the firm’s vulnerability landscape. This role operates at the intersection of cybersecurity, data science, and risk management, focusing on developing scalable data models and analytical capabilities to transform complex vulnerability datasets into actionable intelligence and executive-ready reporting. The ideal candidate will build foundational data structures and analytical techniques to support operational reporting, risk assessment snapshots, and long-term trend analysis, providing leadership with a clear understanding of risk posture, remediation progress, and emerging exposure patterns.

• Required Qualifications
• • 7+ years of experience in data science, analytics, or quantitative modeling, with a strong focus on security, risk, or vulnerability management domains.
• • Strong proficiency in SQL and relational data modeling, including designing and optimizing queries against large-scale security and operational datasets.
• • Strong proficiency in Python (or similar) for data analytics, transformation, and automation of data pipelines used in vulnerability and risk analysis.
• • Experience working with large-scale, complex datasets, particularly in environments with high-volume vulnerability telemetry, asset inventories, and security findings.
• • Strong understanding of data modeling concepts (dimensional modeling, aggregation strategies) applied to security data (e.g., vulnerabilities, assets, controls, scan results).
• • Strong understanding of KPI development and performance measurement frameworks, including defining metrics such as vulnerability aging, remediation SLAs, risk scoring, and coverage.
• • Proven ability to translate complex data into clear, actionable insights, enabling prioritization of vulnerability remediation, risk reduction strategies, and measurable improvements in security posture.

• Preferred Qualifications
• • Experience in cybersecurity or vulnerability management domains.
• • Experience in risk analytics or regulatory reporting environments.
• • Familiarity with vulnerability constructs: CVEs, severity/priority frameworks (e.g., P1–P4, exploitability tiers), and SLA-based remediation tracking.
• • Exposure to data governance and data quality controls, including definitions and lineage management.
• • Hands-on experience building dashboards and visualization solutions (e.g., Power BI, Tableau) to communicate vulnerability posture, risk exposure, and remediation progress to both technical and executive stakeholders.