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

Solid 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.

Strong 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