RQ11753 - Senior Data Analytical Specialist / Scientist
Location: Toronto, ON (5 Days Onsite)
Duration: October 26, 2026 – October 5, 2027 (can extend)
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.
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Data Scientist in Toronto employer: Bevertec
At Bevertec, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of Toronto. Our commitment to employee growth is evident through continuous training opportunities and the chance to lead impactful projects that shape the public sector landscape. Join us to be part of a dynamic team where your expertise in PeopleSoft HCM will not only be valued but also rewarded with competitive benefits and a supportive environment.
