Data Science Developer
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Our client requires a senior Data Analytical Specialist/Scientist to help support a public-sector health analytics initiative by analyzing, building, validating, and operationalizing a chronic-disease-burden model within secure enterprise systems. Senior-level expertise is required for statistical modelling, model validation, reproducible analytical workflows, data ingestion, data transformation, data governance, R and/or Python, query languages, Azure/cloud analytics, documentation, testing, training, and knowledge transfer. Resource will work with technical teams, data stewards, data engineers, functional experts, and stakeholders to deliver sustainable, evidence-based analytics capabilities.
Work is hybrid with 2 days per week onsite at client location in Toronto, ON.
Toronto, Ontario (Hybrid)
Responsibilities
Duties Include:
- Analyze the chronic-disease-burden model and methodology to support a build within existing systems.
- Build, validate, and run the model within a healthcare environment, aligned to and advancing the public data platform (with an R/Azure bridge until platform is available).
- Support data acquisition through data-sharing agreements and governance processes where required for the ODBM to run within PHO systems.
- Document methods and transfer knowledge to PHO staff so the ODBM can be sustained beyond the engagement.
- Participate in related HealthMap documentation, development, testing, end-user training, and knowledge transfer; work with functional experts, data architects, ETL developers, and PHDU technical teams to deliver sustainable solutions.
- Key deliverable include documented methodology, code, data-acquisition, analytical & reporting requirements and knowledge transfer.
Mandatory Requirements
Mandatory Requirements Include:
- Excellent analytical, problem-solving, and decision-making skills.
- Strong consulting and relationship-management skills to work with client groups, technical teams, data stewards, data engineers and stakeholders to confirm requirements, options, constraints, and delivery decisions.
- Ability to communicate complex quantitative methods, assumptions, outputs, and limitations clearly to technical and non-technical audiences.
- Senior-level experience with statistical methods and models, including their underlying data requirements, model validation, and reproducible analytical workflows.
- Experience designing data-ingestion, transformation, quality-checking, and reproducible data-processing workflows.
- Public Sector experience is required
General Skills (Required):
- Ability to manipulate and analyze complex data from structured and unstructured sources to support evidence-based decision-making.
- Broad understanding of data management, business analysis, database architecture, governance, and information visualization.
- Proficiency in R and/or Python, query languages, and version-controlled analytical code to ensure that any ODBM analytical workflows can be implemented, run, troubleshooted, and documented.
- Strong investigative, mathematical, and statistical skills to assess model logic, test assumptions, resolve data or code issues, and support sustainable knowledge transfer.
Desirable Requirements
- Experience with R and PowerBI.
- Experience with population or public-health data and chronic-disease, microsimulation, or burden-of-disease modelling.
- Experience building on, or adapting, an external academic or research model within a production environment.
- Familiarity with cloud analytics environments (e.g., Azure) and platform-based delivery products such as Databricks.
- Knowledge and understanding of the Accessibility for Ontarians with Disabilities Act (AODA) and related standards.
Job Posting ID: 56966
Location: Toronto, Ontario (Hybrid)
Estimated Starting Date: Aug 31, 2026
Estimated End Date: till Mar 1, 2027
Posting Closing Date: July 30, 2026
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