RQ11753 - Senior Data Analytical Specialist / Scientist
Location: Toronto, ON (5 Days Onsite)
Duration: October 26, 2026 – October 5, 2027 (can extend)
Security Clearance: CRJMC Required
Par rate: $80-85
Type: Contract
We are seeking a Senior Data Analytical Specialist / Scientist to lead advanced analytics, machine learning, and data-driven decision-making initiatives within a large-scale enterprise environment. The successful candidate will be responsible for developing analytics solutions, building predictive models, designing data pipelines, and delivering actionable insights to support strategic business decisions.
Must-Have Skills
- 5+ years of experience with Azure and/or AWS cloud environments
- 5+ years of experience with Big Data frameworks and technologies
- Strong expertise in SQL, data manipulation, and managing large relational databases
- Experience sourcing, cleaning, transforming, and structuring complex or unstructured datasets
- Experience developing, testing, and deploying Machine Learning, Predictive Analytics, Classification Models, and Deep Learning solutions
- Hands-on experience with TensorFlow, PyTorch, or similar ML frameworks
- Experience with ASP.NET, .NET Core, Web API Development, Entity Framework, Azure SQL
- Strong experience with DevOps, CI/CD Pipelines, Automated Deployments, and Configuration Management
- Proficiency across cloud service models (SaaS, PaaS, and IaaS)
- Experience working in Agile environments using Kanban or similar methodologies
- Strong analytical, communication, stakeholder management, and problem-solving skills.
Nice-to-Have Skills
- Experience supporting large government or public sector applications
- Experience with ETL development, data integration, and data engineering
- Knowledge of Natural Language Processing (NLP), Data Mining, Statistical Modeling, and Information Visualization
- Experience with Power BI, R, SAS, SPSS, MATLAB, Excel, Access, or VBA
- Experience designing dashboards, reporting solutions, and business intelligence applications
- Knowledge of data governance, data architecture, and enterprise analytics best practices.
Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.
