Senior Data Analytical Specialist / Scientist

Client: Supply Ontario (Public Health Ontario - PHO) | Hybrid - Toronto, ON, Canada

We are seeking an experienced Senior Data Analytical Specialist / Scientist to support Public Health Ontario's (PHO) HealthMap initiative, a strategic analytics program focused on advancing public health intelligence through sophisticated statistical modeling, data science, and analytics.

Role Snapshot

Requisition ID: RQ00746

Job Title: Senior Data Analytical Specialist / Scientist

Client: Supply Ontario (Public Health Ontario)

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

Work Arrangement: Hybrid (2 Days Onsite)

Contract Start Date: August 31, 2026

Contract End Date: March 1, 2027

Contract Duration: 131 Business Days

Schedule: 7.25 Hours per Day | Monday–Friday

Position Summary

HealthMap is Public Health Ontario's flagship analytics initiative, designed to transform provincial public health data into actionable intelligence, surveillance, forecasting, and decision support.

The Senior Data Analytical

Specialist / Scientist will be dedicated to the HealthMap program, working closely with business and technical teams to analyze, build, validate, and operationalize the Ontario Disease Burden Model (ODBM) developed by the Dalla Lana School of Public Health (University of Toronto). This role requires expertise in advanced statistical methodologies, reproducible analytical workflows, cloud-based analytics, and public health data while ensuring long-term sustainability through comprehensive documentation and knowledge transfer.

Key Responsibilities

Statistical Modeling & Advanced Analytics (45%)

Analyze the Ontario Disease Burden Model (ODBM) methodology and supporting datasets.

Build, validate, and operationalize statistical models within PHO's enterprise environment.

Evaluate model assumptions, logic, and performance.

Develop reproducible analytical workflows supporting sustainable model execution.

Support forecasting, scenario analysis, and evidence-based public health decision-making.

Data Engineering & Analytical Workflows (25%)

Design and implement data ingestion, transformation, and quality validation processes.





Develop reproducible analytical pipelines using version-controlled code.

Work with structured and unstructured datasets to support advanced analytics.

Support integration with the Public Health Data Utility (PHDU) and Azure-based analytics platform.

Collaborate with data engineers, architects, and ETL development teams.

Stakeholder Collaboration & Solution Delivery (20%)

Partner with business stakeholders, technical teams, data stewards, and subject matter experts.

Assess business requirements and recommend analytical solutions.

Communicate complex quantitative methods and analytical findings to both technical and non-technical audiences.

Support governance activities and data-sharing initiatives required for model implementation.

Documentation & Knowledge Transfer (10%)

Produce comprehensive technical and methodological documentation.

Deliver knowledge transfer sessions to PHO technical teams.

Develop sustainable operational procedures and implementation guidelines.

Support testing, end-user training, and transition activities.

Key Deliverables

Fully documented analytical methodologies and technical processes

Operational Ontario Disease Burden Model (ODBM) within PHO's workplace

Reproducible analytical workflows and validated statistical models

Data acquisition and governance documentation

Knowledge transfer materials and technical training sessions

Sustainable analytical capability aligned with the Public Health Data Utility (PHDU)

Required Skills & Experience

Skill / Experience Required Advanced analytical, problem-solving, and decision-making skills

Skill / Experience Required Senior-level statistical modeling and validation experience

Skill / Experience Required Designing reproducible analytical workflows

Skill / Experience Required Data ingestion, transformation, and quality assurance processes





Skill / Experience Required Structured and unstructured data analysis

Skill / Experience Required R and/or Python programming

Skill / Experience Required SQL and query language proficiency

Skill / Experience Required Version-controlled analytical code development

Skill / Experience Required Data management and governance knowledge

Skill / Experience Required Business analysis and stakeholder consulting

Skill / Experience Required Information visualization concepts

Skill / Experience Required Strong written and verbal communication skills

Skill / Experience Required Knowledge transfer and technical documentation

Preferred Qualifications

Experience with R and Power BI

Public health or population health analytics experience

Chronic disease, burden-of-disease, or microsimulation modeling experience

Experience implementing academic or research models in production environments

Azure cloud analytics experience

Databricks platform experience

Knowledge of the Accessibility for Ontarians with Disabilities Act (AODA)

Expected Professional Expertise The Successful Consultant Will Demonstrate The Ability To

Apply advanced statistical and analytical concepts with minimal supervision.

Lead complex analytical initiatives across multidisciplinary teams.

Mentor technical staff and provide subject matter expertise.

Deliver enterprise-level analytical solutions supporting executive decision-making.

Translate complex analytical findings into actionable business recommendations.

Provide strategic advisory support on data science and advanced analytics initiatives.

Preferred Candidate Profile

We are seeking professionals with expertise in:

Statistical analysis and predictive modeling

Advanced data analytics and data science

R and Python programming

Reproducible analytical workflows

Data governance and information management

Public health or healthcare analytics

Azure cloud analytics environments

Knowledge transfer and stakeholder engagement

Additional Information

Public sector experience is required.

Work Model: Hybrid (2 Days Onsite)

Location: Toronto, Ontario, Canada

Public Sector Experience: Required

📌 Data Analytical Specialist/Scientist - Senior (Toronto)
🏢 S M Software Solutions
📍 Toronto