Key Facts

Remote From:

Canada

Category: Data Scientist

Full time

Senior (5-10 years)

English

Hard Skills

SQL (Programming Language) Python (Programming Language) Data Modeling Data Mining Data Science Vulnerability Management Data Transformation Cyber Security Data Governance Data Quality Assessment +2 more

Roles & Responsibilities

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.

Requirements:

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.

Axelon Services Corporation

Human Resources, Staffing & Recruiting

About Axelon Services Corporation

For more than 30 years, Axelon has been exceeding market expectations and delivering top talent to the Fortune 500. Our team's dedication and commitment to our clients' success have always set us apart. Axelon continues to empower its employees with technological advancements developed for top business performance, making Axelon a leading global staffing services provider in the industry. Historically rooted in the technology sector, Axelon now services many labor categories. At Axelon, you'll be part of a team that accelerates business success. Everyday, we strive to be...Your Partner for Success!

Company type: SME

Industry: Human Resources, Staffing & Recruiting

Founded: 2018

Company size: 501 - 1000

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Job description

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.