machine learning specialist - hybrid.

Are you a skilled Machine Learning Specialist looking to make a meaningful impact on public services? Our Edmonton client is seeking an experienced professional for an initial 12-month contract to support the development of advanced analytical data products and machine learning solutions. Working alongside a collaborative team within a dedicated analytics capability center, you will transform complex data assets into actionable insights that directly benefit citizens. If you thrive in multi-faceted roles bridging data science, statistical analysis, and solution architecture, this opportunity is ideal for you.

Note: this position is primarily remote, frequency of on-site meeting could be up to 3-4 times per fiscal year at the cost of the contractor (if not situated in Edmonton).

Advantages
• Long-term initial 12-month contract offering strong stability and project continuity.
• Opportunity to work on high-impact public sector initiatives that directly improve public services.
• Collaborative team environment focused on modern machine learning and statistical modeling tools.
• Hybrid work flexibility based in Edmonton with a focus on work-life balance.

• Exposure to diverse projects spanning data science, artificial intelligence, and predictive modeling.

Responsibilities
• Build, train, and integrate machine learning models to support organizational policy and service delivery.
• Clean, normalize, and organize raw datasets from various internal and external sources.
• Conduct statistical analyses using classification techniques such as clustering and logistic regression.
• Collaborate with cross-functional teams to identify suitable applications for machine learning capabilities.
• Create clear data visualizations, dashboards, and reports to communicate analytical findings to stakeholders.
• Establish auditing, accountability, and privacy compliance mechanisms for deployed artificial intelligence solutions.
• Gather business requirements and document technical metadata for analytical data products.

Qualifications
• Bachelor degree in Computer Science or a related field of study.
• Minimum of 6 years of experience using statistical programming languages including Python, R, and SQL.
• Minimum of 6 years of experience building quantitative analysis models and preparing data for predictive modeling.
• Minimum of 6 years of experience applying machine learning methods such as anomaly detection and automated data transformation.
• Experience working with statistical classification techniques including k-means, hierarchical clustering, and partition trees.

Summary
If you are an experienced Machine Learning Specialist ready to take on a rewarding role in Edmonton, we want to hear from you. Please apply directly to this job ad or reach out to your Randstad Digital representative immediately!

P.S. Don’t forget that when you update your profile on Randstad.ca it helps us find you faster when we do have roles that match your skills! So even if this role isn’t for you please update your profile so we can find you!

We look forward to supporting you in your job search!

Good luck!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process. show more