Hybrid – Toronto, ON, Canada
We are seeking an experienced

Data Science Developer – Senior
Client: Supply Ontario (Public Health Ontario – PHO) | Hybrid – Toronto, ON, Canada

We are seeking an experienced Senior Data Science Developer to design, develop, and support enterprise-scale cloud-based data engineering and advanced analytics solutions for Public Health Ontario (PHO) . This role is ideal for professionals with deep expertise in Azure-based data platforms, data engineering, AI/ML integration, analytics, and cloud data architecture .

The successful candidate will lead the design and implementation of scalable data lakes, Lakehouse architectures, automated data pipelines, analytics models, and visualization solutions , while supporting strategic public health initiatives through advanced data science, forecasting, and machine learning capabilities.

Role Snapshot

Requisition ID: RQ00745

Job Title: Senior Data Science Developer

Client: Supply Ontario (Public Health Ontario)

Work Location: 661 University Ave, Suite 1701, Toronto, ON M5G 1M1, Canada

Work Arrangement: Hybrid (2 Days Onsite)

Contract Start Date: August 17, 2026

Contract End Date: February 12, 2027

Contract Duration: 130 Business Days

Schedule: 7.25 Hours/Day | Monday–Friday

Position Summary
Public Health Ontario is expanding its provincial analytics and public health intelligence platform to transform public health data into actionable insights, surveillance capabilities, and informed decision-making.

The Senior Data Science Developer will perform a dual role as both a Data Engineer and Data Science Specialist , developing cloud-native data infrastructure while incorporating advanced analytics and AI capabilities into enterprise data solutions.

This position will contribute to PHO's Azure-based Public Health Data Utility (PHDU), supporting scalable analytics, HealthMap data ingestion, predictive modeling, and modern data engineering initiatives.

Key Responsibilities

Cloud Data Engineering & Analytics Solutions (45%)

Design, develop, and maintain cloud-based data engineering solutions.

Build and optimize enterprise data lakes and Lakehouse architectures.

Develop automated ETL/ELT pipelines and scalable data workflows.

Create analytics models, dashboards, and enterprise reporting solutions.





Ensure solutions comply with enterprise architecture and development standards.

Design Medallion Architecture for modern data platforms.

Azure Data Platform Development (30%)

Develop And Maintain Enterprise Solutions Utilizing

Azure Storage

Azure Data Lake

Azure Databricks Lakehouse

Azure Synapse Analytics

Azure Data Factory

Power BI

Python

SQL

Support cloud platform operations, performance optimization, troubleshooting, and production deployments.

Data Science & Artificial Intelligence

Data Science & Artificial Intelligence (15%)

Identify and prioritize high-value analytics use cases.

Integrate Machine Learning and Natural Language Processing (NLP) techniques.

Develop forecasting models and scenario analysis solutions.

Increase organizational capability for predictive analytics.

Support HealthMap and Public Health Data Utility initiatives.

Stakeholder Collaboration & Knowledge Transfer

Stakeholder Collaboration & Knowledge Transfer (10%)

Collaborate with business partners and technical teams.

Analyze complex technical issues and recommend effective solutions.

Prepare comprehensive technical documentation.

Deliver knowledge transfer sessions for PHO technical staff.

Support governance, data-sharing, and operational readiness activities.

Key Deliverables

Enterprise cloud-based data lakes and Lakehouse solutions

Automated enterprise data pipelines

Azure-based analytics platforms

Interactive dashboards and reporting solutions

Machine Learning and AI-enabled analytics models

Forecasting and scenario analysis capabilities

Knowledge transfer documentation and technical training

Required Skills & Experience




Skill / Experience Required Experience developing cloud-based data and analytics platforms Required Designing and implementing Data Lakes and Lakehouse architectures Required Automated ETL/ELT pipelines and enterprise data engineering Required Medallion Architecture implementation Required Azure Storage Required Azure Data Lake Required Azure Databricks Required Azure Synapse Analytics Required Azure Data Factory Required Power BI Required Python Required SQL Required Assessing client technology requirements Required Troubleshooting complex technical environments Required Knowledge transfer documentation and training Required Working within collaborative Agile product teams

Desired Skills

Strong written and verbal communication skills

Technical documentation and presentation experience

Ability to explain complex technical concepts to business stakeholders

Experience creating enterprise best practices and technical guidelines

Strong interpersonal and stakeholder management skills

Experience delivering technical knowledge-transfer sessions

Expected Professional Expertise
The Successful Consultant Will Demonstrate The Ability To

Apply advanced technical concepts with minimal supervision.

Lead complex cloud-based data engineering initiatives.

Mentor technical teams and provide subject matter expertise.

Deliver enterprise-level data and analytics solutions.

Recommend strategic technical approaches and architectural improvements.

Plan, manage, and execute complex technical deliverables.

Preferred Candidate Profile
We are seeking a professional who possesses strong experience across both Data Engineering and Data Science disciplines , including:

Azure cloud data engineering

Enterprise data pipeline development

Lakehouse and Medallion architecture

Machine Learning and AI integration

Power BI analytics and visualization

Python and SQL development

Public sector project experience (Required)

Additional Information

Work Model: Hybrid (2 Days Onsite)

Public Sector Experience: Required

Location: Toronto, Ontario, Canada

Applications missing any mandatory documents cannot be considered.

If this prospect is not the right fit for you, we encourage you to share it with qualified professionals experienced in Azure Data Engineering, Data Science, Machine Learning, Data Lake/Lakehouse Architecture, Azure Databricks, Azure Synapse, Power BI, Python, SQL, and Public Sector cloud analytics projects .

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📌 Data Science Developer - Senior (Ontario)
🏢 S M Software Solutions
📍 Ontario