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.
