Data Scientist AWADC

Job Title:
Data Scientist – Vulnerability Analytics & Risk Intelligence -- AWADC

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.