Bryan Paget
Data science and engineering leader with deep expertise in building secure, scalable, open-source data science platforms for government. Proven ability to architect Kubernetes-based infrastructure (Azure, Kubeflow, JupyterLab), mentor technical teams, and drive adoption of reproducible, ethical data practices across institutional boundaries. Combines technical rigor with a human-centered leadership style rooted in collaboration, transparency, and resilience.
Experience
STATISTICS CANADA
2022–Present
Team Lead, Open Source Data Science Platform
- Lead a cross-functional team building a government-wide, open-source data science platform using Kubeflow, Kubernetes, and JupyterLab
- Architected scalable, secure infrastructure enabling reproducible workflows for 50+ statistical programs
- Mentor developers in GitOps, CI/CD, containerization, and ethical data handling practices
- Championed open-source adoption within federal constraints; replacing legacy tools with transparent, community-driven alternatives
- Collaborate with security, privacy, and cloud teams to ensure compliance with TBS and SSC standards
HEALTH CANADA
2020–2022
Lead Data Science Consultant
- Designed and deployed machine learning pipelines for public health surveillance and consumer price analysis
- Built data infrastructure supporting real-time analytics during pandemic response
- Led technical mentorship for junior data scientists and analysts
- Translated complex model outputs into clear, actionable insights for non-technical stakeholders
STATISTICS CANADA
2019–2020
Data Scientist, Consumer Prices Division
- Automated manual data processing workflows using Python and open-source tools
- Identified critical inefficiencies in Excel/PowerBI-dependent processes: laying groundwork for future platform migration
- Collaborated with economists on statistical methodology and data validation
Education & Credentials
UNIVERSITY OF OTTAWA
2014–2019
BSc and MSc in Statistics
- Thesis research in natural language processing and statistical modeling
- Published in FLAIRS-29 conference proceedings
CERTIFIED KUBERNETES APPLICATION DEVELOPER (CKAD)
2025
Validated expertise in Kubernetes application design, deployment, and troubleshooting
Technical Skills
- Platforms: Kubernetes, Kubeflow, JupyterLab, Docker, Linux, Raspberry Pi
- Cloud & Infrastructure: AWS, Google Cloud, Azure, Linux, CI/CD, GitOps, Terraform
- Languages: Python, R, Golang, Bash, SQL
- Data Engineering: Reproducible Workflows, Data Pipeline Design, SAS Migration, Open Data Standards
- Machine Learning: MLOps, Model Deployment, ML Pipelines
- Leadership: Team Mentoring, Cross-functional Collaboration, Stakeholder Communication, Open Source Advocacy, Ethical Data Governance
Leadership Approach
I lead by enabling, not controlling. My strength lies in building infrastructure that empowers teams to do their best work: platforms that are robust yet flexible, processes that are rigorous yet humane, and cultures that value both technical excellence and human integrity.
In uncertain times, I anchor my leadership in three principles: transparency (open systems, open knowledge), resilience (through mentorship, redundancy, and adaptability), and service (technology must serve people, not bureaucracy). I am developing my inner warrior (not for dominance, but for steadfastness) so I can steward teams through complexity with clarity, compassion, and unwavering ethics.