Data Scientist / Data Analytics Specialist

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.

• 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.