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 workplace. 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 environment 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

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