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Cybersecurity Data Scientist Jobs in Quebec (NOW HIRING)

The IT Architect works closely with business stakeholders, project managers, cybersecurity ... Define and maintain enterprise, solution, application, data, and infrastructure architecture ...

... offices, data centers, Oracle Cloud Infrastructure (OCI), Microsoft Azure, AWS, customer ... You will also contribute to infrastructure projects, automation, cybersecurity, disaster recovery ...

... Cybersecurity & GRC for security support across IT, Data, & Digital (IDD). Partnering closely with ... Bachelor's degree in Information Technology, Computer Science, Engineering, or related field

... Cybersecurity & GRC for security support across IT, Data, & Digital (IDD). Partnering closely with ... Science, Engineering, or related field Minimum 8-10 years of IT experience with at least 3-5 years ...

... Cybersecurity & GRC for security support across IT, Data, & Digital (IDD). Partnering closely with ... Bachelor's degree in Information Technology, Computer Science, Engineering, or related field

Showing results 21-40

Cybersecurity Data Scientist information

See Quebec salary details

$25.5K

$118.3K

$185K

How much do cybersecurity data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for cybersecurity data scientist in Quebec is $118,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $154,500.00 per year, depending on experience, location, and employer.

What is a cybersecurity data scientist?

A Cybersecurity Data Scientist is a professional who applies data science techniques to identify, analyze, and mitigate cyber threats. They use large datasets, machine learning, and statistical analysis to detect patterns of malicious activity and develop models to predict and prevent cyber attacks. This role bridges the gap between cybersecurity and data analytics, helping organizations strengthen their security posture by turning data into actionable insights.

What are the key skills and qualifications needed to thrive as a cybersecurity data scientist?

To thrive as a Cybersecurity Data Scientist, you need a strong background in computer science, statistics, and cybersecurity principles, typically supported by a relevant degree and experience in data analysis. Familiarity with tools like Python, R, machine learning frameworks, and security information and event management (SIEM) systems is essential, as well as certifications such as CISSP or CompTIA Security+. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex threats and collaborate with cross-functional teams. These skills are critical for identifying security vulnerabilities and developing data-driven solutions to protect organizations from evolving cyber threats.

How do cybersecurity data scientists typically collaborate with IT and security teams to address emerging threats?

Cybersecurity Data Scientists work closely with IT and security teams to identify vulnerabilities, analyze security logs, and develop machine learning models that detect anomalies. They often participate in cross-functional meetings to translate complex data insights into actionable recommendations for incident response. Regular collaboration is key, as these professionals must ensure their algorithms align with real-world security protocols and integrate seamlessly with existing systems. This teamwork enhances both proactive threat detection and rapid response to security incidents.

What is the difference between Cybersecurity Data Scientist vs Cybersecurity Analyst?

AspectCybersecurity Data ScientistCybersecurity Analyst
Required CredentialsBachelor's/Master's in Data Science, Cybersecurity, or related fields; certifications like CISSP, CEHBachelor's in Cybersecurity, Information Technology, or related; certifications like CompTIA Security+, CISSP
Work EnvironmentData-driven roles, analyzing large datasets, developing modelsMonitoring security systems, incident response, threat analysis
Employer & Industry UsageTech companies, finance, healthcare, governmentAny organization with cybersecurity needs, including government and private sectors

While both roles focus on cybersecurity, a Cybersecurity Data Scientist specializes in analyzing data to identify patterns and develop predictive models, whereas a Cybersecurity Analyst primarily monitors security systems and responds to threats. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in focus and skill set.

What are popular job titles related to Cybersecurity Data Scientist jobs in Quebec?

For Cybersecurity Data Scientist jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Cybersecurity Data Scientist jobs in Quebec look for?

The top searched job categories for Cybersecurity Data Scientist jobs in Quebec are:

Infographic showing various Cybersecurity Data Scientist job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,335 per year, or $56.9 per hour.

Expert Security Architecture

Montreal-est, QC • On-site

Canadian National Railway Company
Rail Transportation • 10K+ employees

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Evaluate technology solutions, configurations, and designs against security requirements.

  • Define and implement enterprise security architecture controls and standards across various domains.

  • Produce architecture artifacts that are audit-ready and aligned with enterprise governance and compliance requirements.


Canadian National Railway rating

7.5

Company rating: 7.5 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

137th of 365 rated logistics


Job description

Expert Security Architecture

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you're part of making sure our business is running optimally and safely-helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!  

Job Summary

The purpose of this role is to evaluate technology solutions, configurations, and designs against security requirements, and define cybersecurity reference architectures and standards across enterprise environments at CN (including cloud, on-premises, data, and emerging technologies such as AI). This role drives secure-by-design principles across engineering and operational teams by integrating security into architecture practices, development workflows, and enterprise technology decisions.

Main Responsibilities

Security Architecture Practice 

  • Define and implement enterprise security architecture controls to manage risk while enabling business capabilities across domains such as cloud platforms, enterprise applications, data, AI/ML, industrial systems, networking, and end-user technologies.
  • Ensure security architecture across enterprise environments is maintainable, sustainable, and properly documented.
  • Define and enforce security design patterns and controls for Artificial Intelligence (AI) and Generative AI workloads, including model lifecycle security, data protection, and responsible use.
  • Assess AI-enabled solutions for emerging risks such as prompt injection, model manipulation, data leakage, and unauthorized use of enterprise data.
  • Partner with Responsible AI, Data, and Architecture teams to integrate security controls into AI and machine learning solutions. Define security standards and guardrails for AI technologies aligned with enterprise policies, regulatory expectations, and risk tolerance. Contribute to the development of secure AI usage guidelines and governance frameworks.
  • Maintain and build relevant, current, valid, and reliable team knowledge related to security architecture to leverage existing cybersecurity infrastructure and process, where appropriate, and drive configuration standards while supporting digital transformation in the I&T environment
  • Facilitate key decisions involving architecture and technologies. Influence enterprise architecture decisions by providing authoritative security guidance across programs and portfolios.
  • Act as a trusted advisor to senior stakeholders on security architecture trade-offs and risk decisions.
  • Advance security team accomplishments and competence by planning delivery of solutions; answering technical and procedural questions for less experienced team members; teaching improved processes; mentoring team members
  • Produce architecture artifacts that are audit-ready and aligned with enterprise governance and compliance requirements.

Security Roadmap and Strategy 

  • Report to the Senior Manager, Security Architecture and support the execution of the enterprise security architecture strategy defined by the CISO organization.
  • Operate as a senior individual contributor within the Security Architecture team, providing technical leadership and influencing cross-functional delivery teams.
  • Define the proper course of action and investment strategy by building business cases and security roadmaps
  • Engage technology and cybersecurity vendor ecosystems to understand capabilities and drive improvements in the overall security posture.
  • Engage the cybersecurity vendor ecosystem to understand capabilities, options for compensating controls and risk mitigations to facilitate the selection of partners that integrate with the overall architecture
  • Continuously monitor and evaluate the environment through self-assessments and independent security reviews. Enable management to identify deficiencies and inefficiencies and to initiate improvement actions though security roadmap and strategies

Working Conditions

Occasional business travel (Canada and US) in accordance with CN policy

Requirements

Experience

  • Minimum 12 years overall work experience
  • Minimum 8 years I&T experience
  • Minimum 5 years experience in security architecture across enterprise environments (including cloud, applications, data, or infrastructure).
  • Proven experience in applying a structured approach to problem resolution in large, geographically dispersed organizations with 24/7 operations
  • Multi-cloud experience including AWS, Azure, and Google Cloud Platform, an asset
  • Experience with Agile and DevOps methodologies, an asset
  • Railroad, transportation, or Global industrial experience is a significant asset

Education/Certification/Designation

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, System Analysis, or another relevant field
  • At least one recognized security certification (e.g., CISSP, CISM, CISA, CCSP, CCSK, GIAC or equivalent), demonstrating a strong foundation in information security principles across enterprise environments.
  • Architecture related certifications (TOGAF, Zachman, CISSP-ISSAP, etc.) asset

Competencies

  • Ability to define and organize an architecture security apparatus in reusable building blocks: patterns, services, components, capability models, etc.
  • Demonstrated capability to understand the security implications of complex business operations and how they are linked to technological solutions that provide practical risk mitigation and business enablement
  • Ability to derive security requirements from vaguely formulated business needs
  • Ability to interact with a broad cross-section of personnel to explain and enforce security measures
  • Excellent written and verbal communication skills
  • Detail-oriented self-starter with a high level of commitment and personal motivation
  • Knack for prioritizing tasks and working in a fast-paced environment

Technical Skills/Knowledge

  • Strong knowledge of the processes, methodologies, tools, and techniques, used for building large information technology systems
  • Knowledge of standards, regulations and legislation governing Information Security, e.g. NIST, ISO 27001, OWASP
  • Knowledge of general IT security architecture and technologies including: service-oriented-architectures, mobile technologies including Mobile Device Management (MDM), data-centric design, advanced analytics, AI, Identity and Access Management (IAM) lifecycles, Digital Forensics, End Point Protection, Encryption, Encryption Key Management, Database Security, Enterprise Directory Services, IDS, IPS, Next Generation Firewalls, Application Firewalls, Enterprise Password Vaults, Cloud SaaS /PaaS/IaaS Security, SIEM, etc., an asset.
  • Knowledge of enterprise security architecture domains including application security, data security, identity and access management, network security, and operational technology (OT) security.
  • Understanding of securing APIs, OpenID Connect, OAuth an asset
  • Understanding networking including SD-networks and service meshes, an asset
  • Knowledge of container security concerns, especially with Kubernetes, an asset

For internal candidates, note that the grade level of the position will depend on the employee's experience.

About CN

CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada's Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results. 


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