Description

Data Scientist / Analytics Engineer – Risk & Vulnerability Analytics

Contract: 1-Year

Location: Montreal, QC (Remote Role)

✅ Role Overvie

wDesign and build scalable data models, analytics frameworks, and reporting solutions to transform large, complex vulnerability datasets into actionable insights. The role focuses on enabling visibility into risk exposure, remediation progress, and trend analysis through structured data and clear reporting

✅ Key Responsibilitie

s🔹 Data Modeling & Integratio

  • nBuild and maintain scalable relational data models integrating vulnerability, asset, and system dat
  • aStandardize and normalize data from multiple sources into a consistent, queryable forma
  • tSupport efficient data pipelines for ingestion, transformation, and analytic

s🔹 Metrics & Analytics Framewor

  • kDefine and implement key KPIs including
  • :Vulnerability exposure (open, critical, aged
  • )SLA adherence and backlog trackin
  • gMean Time to Patch (MTTP
  • )Develop frameworks to identify risk drivers, recurring issues, and systemic pattern

s🔹 Reporting & Visualizatio

  • nDeliver automated weekly reports (trendlines, SLA tracking, backlog movement
  • )Create monthly risk posture snapshots highlighting improvements or regression
  • sBuild dashboards (Power BI/Tableau) for operational and executive insight

s🔹 Trend Analysis & Insight

  • sPerform root cause and trend analysis across vulnerabilities, CVEs, and asset type
  • sIdentify control gaps and emerging risk pattern
  • sTranslate findings into clear insights answering
  • :What changed? Why? What action is needed

?🔹 Stakeholder Collaboratio

  • nPartner with security, risk, and engineering team
  • sDefine data standards, KPIs, and reporting requirement
  • sCommunicate insights effectively to technical and non-technical stakeholder

s

✅ Required Skil

  • ls7+ years of experience in data analytics, data science, or quantitative rol
  • esStrong SQL expertise and experience with relational data modeling at sca
  • leProficiency in Python (or similar) for data transformation and automati
  • onExperience handling large, complex datase
  • tsStrong capability in KPI design, trend analysis, and performance measureme

nt

✅ Preferred Ski

  • llsExperience in cybersecurity, vulnerability management, or risk analyt
  • icsFamiliarity with CVEs, risk scoring, and SLA-based remediat
  • ionHands-on experience with Power BI / Tableau dashboa
  • rdsUnderstanding of data governance, quality, and standardizat

ion✅ Key Tra

  • itsStrong analytical and problem-solving mind
  • setAbility to work independently and drive insights end-to-
  • endCuriosity to explore data and uncover meaningful patte
  • rnsAbility to communicate data-driven insights clearly to stakeholders