Senior Data Scientist - Canada Remote

About Us

Sophos is a global leader and innovator of advanced security solutions for defeating cyberattacks. The company acquired Secureworks in February 2025, bringing together two pioneers that have redefined the cybersecurity industry with their innovative, native AI-optimized services, technologies and products. Sophos is now the largest pure-play Managed Detection and Response (MDR) provider, supporting more than 28,000 organizations. In addition to MDR and other services, Sophos’ complete portfolio includes industry-leading endpoint, network, email, and cloud security that interoperate and adapt to defend through the Sophos Central platform. Secureworks provides the innovative, market-leading Taegis XDR/MDR, identity threat detection and response (ITDR), next-gen SIEM capabilities, managed risk, and a comprehensive set of advisory services. Sophos sells all these solutions through reseller partners, Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs) worldwide, defending more than 600,000 organizations worldwide from phishing, ransomware, data theft, other every day and state-sponsored cybercrimes. The solutions are powered by historical and real-time threat intelligence from Sophos X-Ops and the newly added Counter Threat Unit (CTU). Sophos is headquartered in Oxford, U.K. More information is available at www.sophos.com.

ROLE

We are seeking a Senior Data Scientist with a strong research mindset to drive advanced machine learning innovation in the security domain. In this role, you will lead exploratory research, design and execute experiments with minimal oversight, and develop new methodologies that push the boundaries of ML‑driven security. You will work hands‑on across data curation, feature development, and model experimentation, while also contributing to scientific publications, internal frameworks, and production‑grade integrations. This is an ideal opportunity for someone who thrives in a highly technical, inquiry‑driven environment and wants to influence both the scientific community and real‑world security outcomes through original research.

What You Will Do

• Apply general security and ML domain knowledge to problems, identify new avenues of research to apply to current projects.
• With minimal supervision, define and execute experiments to support research on a project.
• Independently explore data curation and labeling, and feature extraction using domain expertise
• Document results of experiments, draw and support conclusions from those experiments; with assistance, evaluate business case/impact
• Contribute significantly to group publications and presentations, including (with assistance) occasional lead or sole authorship of academic publications and presenting work at academic or industry conferences
• Keep up to date on current research and developments in ML and security
• Contribute to internal tools, including identifying gaps where new functionality would be helpful, and implementing significant changes to tools/frameworks to accommodate new technologies.
• Integrate new models into existing frameworks and support hand-off to production
• Support existing model releases, including updates and improvements as needed, and integration with internal tools and systems for production.

What You Will Bring

• Fluent in machine learning and statistical concepts.
• Able to identify scientific literature relevant to a problem, grasp it and apply it.
• Fluent in Python and a database query language like SQL.
• Good general writing skills and ability to translate complex concepts for general consumption.
• Competent at contributing to scientific papers with minimal assistance. Prior publications and talks a bonus. Nice to have
• General security domain knowledge, developing deeper expertise in some subdomain of security.
• Familiarity or interest in lower level language like C++.

In Canada, the base salary for this role ranges from $123,000 to $205,000. In addition to base salary, we offer additional compensation including bonus eligibility and a comprehensive benefits package.  A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs.

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Ready to Join Us?

At Sophos, we believe in the power of diverse perspectives to fuel innovation. Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply.

What's Great About Sophos?

· Sophos operates a remote-first working model, making remote work the primary option for most employees. However, some roles may necessitate a hybrid approach. While we are a remote first organization, applicants must have legal author