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Cybersecurity Data Scientist Jobs in Quebec (NOW HIRING)

... • Bachelor's degree in Computer Science, Information Technology, Computer Engineering ... cybersecurity, technology risk management and data privacy. • Experience with AI and emerging ...

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

... Cyber Security and Data Management functions. The Associate is expected to have a high degree of ... Bachelor's degree in Computer Science, Information Systems, Information Technology or a business ...

Plan and perform risk-based IT operational internal audits in areas such as cybersecurity, access ... Support the Internal Audit team in leveraging data analytics to enhance the efficiency, coverage ...

... big-data research, allowing scientists to launch large-scale data analyses using advanced ... cybersecurity requirements. * Conduct meetings with stakeholders, present proposed solutions and ...

... big-data research, allowing scientists to launch large-scale data analyses using advanced ... cybersecurity requirements. * Conduct meetings with stakeholders, present proposed solutions and ...

CA$128K - CA$173K/yr

As an Account Executive for Cybersecurity and Managed IT, you will leverage your knowledge of ... A solid foundation in business, marketing, computer sciences, or related fields. * The ability to ...

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 Aug 18, 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% 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.

Information Technology Director

Lactanet

Sainte-anne-de-bellevue, QC • On-site, Remote

Full-time

Posted 12 days ago


Job description

Lactanet is seeking a strategic and experienced leader to oversee the organization’s information technology operations, application development, digital platforms, business infrastructure, and AI governance. In this role, you will be responsible for ensuring that technology services, applications, data assets, and emerging digital capabilities effectively support Lactanet’s strategic priorities while maintaining the highest standards of security, regulatory compliance and data confidentiality.
Your primary objective will be to provide leadership in technology strategy, risk management, service delivery, IT investments and responsible innovation - including the integration of artificial intelligence solutions. You will lead and develop multidisciplinary teams while collaborating across the organization to ensure the successful delivery of technology initiatives and the realization of measurable business value. Through your leadership, you will contribute to advancing Lactanet’s digital transformation and supporting the organization’s long-term success.
Position Overview
  • Define and execute Lactanet’s IT and digital strategy, ensuring alignment with organizational goals, business priorities and future growth objectives.
  • Provide leadership and direction for technology operations, applications, infrastructure, data management and digital transformation initiatives.
  • Ensure technology services, systems, and platforms are reliable, secure, scalable and effectively support business operations.
  • Identify emerging technologies and opportunities to drive innovation, improve efficiency and create measurable business value.
  • Lead cybersecurity, privacy, technology risk management and governance practices to ensure the protection, confidentiality and appropriate use of organizational information assets.
  • Oversee application development, maintenance, and technology projects, ensuring effective prioritization, resource allocation and successful delivery.
  • Ensure operational resilience through effective service management, business continuity, disaster recovery and continuous improvement practices.
  • Provide strategic oversight for AI governance and the responsible adoption of emerging technologies, balancing innovation with security, privacy and compliance requirements.
  • Manage IT investments, budgets, technology assets, and vendor relationships to optimize performance, value and alignment with organizational priorities.
  • Lead, develop, and support multidisciplinary teams while fostering collaboration, accountability, innovation and a culture of operational excellence across Lactanet

Working conditions
Ideally working from Lactanet’s head office in Sainte-Anne-de-Bellevue, Quebec with the possibility to discuss a remote office location. Occasional after-hours work may be required, consistent with the responsibilities of the position, along with some travel.
How to apply?
Please send your resume and indicate in the subject line the title of the position you are applying for. Submit your application by email to: .
Qualifications & Experience
• Minimum 10 years of progressive leadership experience in IT, digital transformation, or a related field.
• Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Information Systems or a related field.
• A graduate degree in Business Administration (MBA), Information Technology Management, Digital Transformation or a related discipline would be considered an asset.
• Relevant certifications in project management, cybersecurity, IT governance or technology service management would be considered an asset.
• Proven leadership of business IT operations, technology service delivery and strategic initiatives.
• Proven ability to lead, develop, and engage large, multidisciplinary teams, including employees working across diverse functions and operating in both hybrid and remote work environments.
• Experience managing IT budgets, technology investments and vendor relationships.
• Strong knowledge of Oracle, Microsoft technologies, Linux, AIX and virtualization environments.
• Demonstrated expertise in cybersecurity, technology risk management and data privacy.
• Experience with AI and emerging technologies, including their business applications and governance considerations.
• Bilingual (English and French) with effective communication and stakeholder management skills.
• Demonstrated change management leadership, driving organizational transformation, technology adoption, process improvement and culture change across the enterprise.
• Strong executive judgment, strategic thinking, managerial courage and accountability.
• Ability to balance innovation and digital transformation with operational stability, security and business requirements.