Data Scientist
New
CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLCybersecurityMicrosoft Power BITableauData modeling
Requirements
- 7+ years of experience in data science, analytics, or quantitative modeling.
- Strong proficiency in SQL, relational data modeling, and Python.
- Experience working with large-scale, complex datasets and building reliable data pipelines.
- Solid understanding of data modeling principles, especially as applied to security or risk-related data.
- Ability to translate complex technical findings into clear, actionable insights.
- Preferred experience in cybersecurity or vulnerability management (CVEs, severity/priority frameworks).
- Exposure to data governance, data quality practices, and dashboarding tools such as Power BI or Tableau.
Responsibilities
- Design and implement scalable data models that integrate vulnerability data across multiple systems, ensuring consistency and performance for analysis and reporting.
- Standardize and normalize heterogeneous vulnerability datasets into structured, queryable formats suitable for ongoing analytics.
- Develop quantitative methodologies to measure vulnerability exposure, risk posture, and trend evolution over time.
- Build and maintain weekly reporting outputs that highlight key metrics, trends, and exposure insights for stakeholders.
- Conduct deep-dive analyses to identify root causes of vulnerability accumulation and uncover systemic security or control gaps.
- Collaborate with vulnerability management, risk, and engineering teams to define KPIs, reporting needs, and analytical priorities.
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