Our Client is seeking an experienced Senior Data Scientist / Data Analytics Specialist for a Government of Ontario project. The ideal candidate will bring strong expertise in data analytics, machine learning, cloud technologies, big data frameworks, and .NET development.

Key Responsibilities

- Lead the development and delivery of advanced analytics and business intelligence solutions to support data-driven decision-making.

- Design, develop, train, test, and deploy predictive models, classification algorithms, and machine learning solutions.

- Extract, clean, transform, and analyze large structured and unstructured datasets from multiple sources.

- Develop statistical models, data pipelines, and scalable analytics solutions.

- Collaborate with Data Architects, ETL Developers, business teams, and stakeholders to gather requirements and deliver actionable insights.

- Develop and integrate custom Web APIs and cloud-based applications.

- Build dashboards, reports, and data visualizations to communicate analytical findings.

- Support solution documentation, testing, deployment, and end-user training.

- Participate in Agile development, DevOps practices, and continuous improvement initiatives.

Required Skills & Qualifications

- Strong proficiency in SQL, programming, data manipulation, and querying large relational databases.





- Minimum 5 years of experience working with cloud environments such as Azure or AWS.

- Minimum 5 years of experience with big data frameworks and large-scale data processing.

- Hands-on experience developing and deploying machine learning models, predictive algorithms, and classification models.

- Experience with deep learning frameworks such as TensorFlow or PyTorch.

- Strong experience with ASP.NET, .NET Core, Entity Framework, custom Web API development, and Azure SQL.

- Experience with Azure DevOps, CI/CD pipelines, and cloud application development.

- Understanding of SaaS, PaaS, and IaaS cloud service models.

- Experience working in Agile environments using Kanban or task management boards.

- Solid knowledge of statistical analysis, data modelling, ETL processes, and business intelligence.

- Excellent communication, analytical, documentation, and stakeholder management skills.

Preferred Qualifications

- Experience working on large-scale government or public-sector applications.

- Knowledge of Python, R, SAS, SPSS, MATLAB, or similar analytical tools.

- Experience with Microsoft Excel, PowerPivot, Access, or VBA.

- Familiarity with natural language processing (NLP), data mining, and advanced statistical techniques.

📌 Data Scientist / Data Analytics Specialist (Toronto)
🏢 Teckhorizon
📍 Toronto