As a Data Science Engineer with the Department of National Defence, you will apply advanced analytical and statistical techniques to transform raw data into actionable insights that support defence and security decision-making. You will design, develop, and implement data science solutions that address complex operational and strategic challenges across the organization. Your work will involve developing predictive models, conducting advanced statistical analyses, and creating data visualization tools that help leaders understand trends, patterns, and risks.
In this role, you will collaborate with subject matter experts, IT professionals, and senior stakeholders to identify data requirements and translate business problems into analytical frameworks. You will work with large and diverse datasets, apply machine learning algorithms, and ensure data quality and integrity throughout your analyses. Your responsibilities will include documenting methodologies, presenting findings to non-technical audiences, and providing recommendations based on evidence. You will also contribute to the continuous improvement of data science practices and tools within the defence organization.
You will work in a dynamic, secure environment where your analytical expertise directly supports national defence and security objectives. This position offers the opportunity to work on meaningful projects with significant impact, while maintaining the highest standards of data governance and security required in a government defence context.
Key Responsibilities
Perform data management activities per GC IM policies, Manage information assets through their lifecycle, Ensure compliance with access to information and privacy requirements, Support information governance and standards
Required Skills
Records management, ATIP legislation, Information governance, Classification systems, Digital literacy, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
To be considered for this position, you typically need a bachelor's degree in a relevant field such as mathematics, statistics, computer science, engineering, physics, or a related discipline. Many successful candidates possess a master's degree in data science, statistics, machine learning, or a specialized quantitative field.
Essential technical skills include proficiency in programming languages commonly used in data science (such as Python, R, or SQL), experience with data analysis and visualization tools, and a solid understanding of statistical methods and machine learning algorithms. Knowledge of big data technologies, cloud platforms, and version control systems is highly valued.
The Government of Canada supports ongoing professional development for data science professionals. You will have opportunities to pursue relevant certifications in data science, machine learning, or cloud technologies. Participation in training programs, conferences, and professional associations such as Statistics Canada's data science community or international data science organizations is encouraged. Internal mentoring, knowledge-sharing networks, and access to online learning platforms will support your continued growth in this field.
Entry Plans
Entry into the Data Science Engineer position within the DND civilian workforce typically occurs through federal Public Service staffing processes. The most common entry method is through open or semi-open competitions advertised on the Government of Canada's Job Bank and the DND Careers website. These competitions may be departmental (DND only) or integrated (open to other federal departments).
You may also enter through lateral transfer if you currently work in the federal Public Service in a related position such as an analyst, IT specialist, or engineering role. The Government of Canada's Federal Student Work Experience Program (FSWEP) and Co-op Placement Program provide pathways for students and recent graduates to gain experience and potentially transition into permanent roles.
Additionally, the Post-Secondary Recruitment Campaign targets recent graduates, and some candidates may enter through bridging programs designed to help individuals transition into specialized technical roles. Once hired, you will likely complete a security clearance process appropriate to your level of access to defence information. Your onboarding will include orientation to DND systems, security protocols, and the specific data science projects and teams you will support.
Part-Time Options
Part-time and flexible work arrangements are available for Data Science Engineer positions within the DND civilian workforce, subject to operational requirements and management approval. Many data science roles can be structured to accommodate part-time schedules, job-sharing, or compressed work weeks, depending on project needs and team dynamics.
Remote work options have become increasingly available in the data science field. Many data analysis, modeling, and documentation tasks can be performed effectively from home or alternative work locations. However, some aspects of the role—such as in-person meetings with stakeholders, security-related procedures, or access to secure facilities—may require occasional on-site presence at a DND location. The specific flexibility available will depend on your team, the nature of your projects, and security requirements.
To explore part-time, flexible, or remote work options for a specific Data Science Engineer position, we recommend discussing arrangements with the hiring manager during the recruitment process or with your manager once hired. The Government of Canada is committed to supporting work-life balance and accommodating diverse work preferences where operational requirements allow.
Related Careers
No related military careers on file for this position.
