Data Science Developer - Senior

About The Role We're looking for an experienced Senior Data Science Developer to join a major Public Health Ontario initiative focused on building modern cloud-based analytics capabilities. This role is ideal for someone with strong expertise in both Data Engineering and Data Science, helping design scalable data platforms while integrating AI and machine learning into public health analytics. Key Responsibilities Design, develop, and implement cloud-based data and analytics solutions on Azure. Build and maintain Data Lake/Lakehouse environments and automated data pipelines. Develop ETL processes, analytics models, dashboards, and reports. Create scalable data solutions using Azure Databricks, Azure Synapse, Azure Data Lake, Azure Storage, and Azure Data Factory. Collaborate with business and technical teams to gather requirements and deliver analytics products. Integrate AI, Machine Learning, and NLP techniques into data analytics initiatives. Support forecasting, modelling, and scenario analysis. Troubleshoot complex technical issues and recommend effective solutions. Produce technical documentation and deliver knowledge transfer sessions to internal teams. Must-Have Skills Strong experience with Azure Data Lake, Azure Storage, Azure Databricks Lakehouse, Azure Synapse, and Azure Data Factory. Advanced proficiency in Python, SQL, and Power BI. Hands-on experience designing and maintaining Data Lakes, Lakehouse architectures, Medallion Architecture, automated ETL/data pipelines, analytics models, dashboards, and reporting solutions. Experience working across multiple cloud-based data and analytics platforms. Proven ability to assess business and technical requirements and translate them into scalable solutions. Strong troubleshooting and problem-solving skills for complex data environments. Experience preparing technical documentation and conducting knowledge transfer. Public Sector experience (Required). Ability to perform both Data Engineering and Data Science responsibilities. Nice-to-Have Skills Experience implementing Machine Learning, NLP, forecasting, and predictive analytics solutions. Excellent written and verbal communication skills. Strong stakeholder management and collaboration abilities. Experience developing technical standards, best practices, and implementation guidelines. Previous experience leading technical teams, mentoring developers, or providing technical guidance.

Design and implement cloud-based data analytics solutions and automated pipelines on Azure for public health initiatives. Integrate AI, machine learning, and NLP techniques to support forecasting and scenario analysis.

Requires strong expertise in Azure data tools, Python, SQL, and Power BI, with a proven ability to build Lakehouse architectures. Mandatory experience working within the public sector is required.

Identified from the job description. Confirm important requirements above.

• Azure Data Lake
• Azure Databricks
• Azure Synapse
• Azure Data Factory
• Python
• SQL
• Power BI
• Data Engineering
• Data Science
• ETL Pipelines
• Medallion Architecture
• Lakehouse Architecture
• Machine Learning
• NLP
• Public Sector Experience
• Technical Documentation

Minimum experience

5+ years

Apply by

Aug 26, 2026