Responsibilities:

- Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights

- Work closely with client’s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement

- Facilitate decision-making and manage client expectations

- Own the execution of analytics initiatives including end-to-end reporting and data set delivery

- Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences

- Participate in documentation, development, testing, and end user training

- Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions

- Design methods to capture, structure, transform, and process data to be used to generate models

- Build data models that provide information which is accurate, easy to understand and unbiased

- Communicate complex quantitative analysis in a clear and accurate manner,



providing useful visuals and summaries

- Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

REQUIREMENTS-Must Have:

- Proficiency in coding and data manipulation, alongside SQL for querying and managing large relational databases.

- Ability to source, clean, transform, and structure messy or unstructured datasets from multiple channels.

- +5 years experience with cloud environments (Azure, AWS)

- +5 years experience with big data frameworks

- Experience training, testing, and deploying predictive algorithms, classification models, and deep learning frameworks (such as TensorFlow or PyTorch).

- Experience with custom .Web API development, ASP.NET. .Net Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.

- Proficiency in all cloud service models: SaaS, PaaS, and IaaS

- Experience with Agile methodologies including using kanban/task boards

📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 CCI- Computer Consultants International
📍 Toronto