Data Scientist

Summary:

• Work Mode: Remote
• Location: Montreal

Responsibilities:

• Design and implement scalable data models that integrate vulnerability data across multiple systems.
• Standardize and normalize disparate vulnerability data sources into a consistent, queryable structure.
• Develop quantitative methods to measure vulnerability exposure and risk posture.
• Design and implement weekly reporting outputs that provide trendlines and exposure metrics.
• Perform deep-dive analyses to identify root causes of vulnerability accumulation and systemic control gaps.
• Partner with vulnerability management, risk, and engineering teams to define reporting requirements and KPIs.

Requirements:

• 7 years of experience in data science, analytics, or quantitative modeling with a focus on security, risk, or vulnerability management domains.
• Strong proficiency in SQL and relational data modeling, and Python for data analytics and transformation.
• Experience working with large-scale, complex datasets.
• Strong understanding of data modeling concepts applied to security data.
• Proven ability to translate complex data into clear, actionable insights.

Preferred Skills:

• Experience in cybersecurity or vulnerability management domains.
• Familiarity with vulnerability constructs such as CVEs and severity/priority frameworks.
• Exposure to data governance and data quality controls.
• Hands-on experience building dashboards and visualization solutions using tools like Power BI or Tableau.