Data Science Developer - Senior

Analyst Technical Solutions; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

Analyst Technical Solutions in Toronto is seeking a Senior Data Science Developer to support the Mental Health & Addiction program, delivering the latest Provincial Data Set version 2.0 and analytics for clinical reporting.

The role emphasizes cloud-based data models, dashboards, and pipelines, requiring health-data expertise and public-sector experience, with collaboration across project teams and clinical partners.

Qualifications

• Background in health data and public-sector/government experience is required.
• Experience with large health system and administrative databases, including linking datasets and building analytic cohorts.
• Ability to design, develop and document end-to-end data analytics solutions.

Responsibilities

• Analyze requirements, design, code reports.
• Develop scripts for health system/administrative databases and build analytic cohorts.
• Design, create, and maintain cloud-based data analytics models and visualizations.
• Liaise with project members to implement products and support clinical partners in cloud analytics.
• Analyze complex issues, identify options, and recommend solutions.
• Develop technical scripts aligned with clinical priorities.
• Develop and maintain data pipelines and analytics products for PDS 2.0 and MHA reporting.

Skills

Written and oral communication

Interpersonal skills

Documentation & knowledge transfer

Tools

SQL

Python

Azure

Power BI

Job description

Job TitleRQ-2026-009857 - Senior Data Science Developer for the Mental Health & Addiction program

Location: 3 days on-site as per manager's discretion (525 University Avenue,Toronto)

Description

Background Information:

The Agency Mental Health & Addiction program requires technical analytics support to deliver the latest Provincial Data Set version 2.0 and other clinical area analytics.

The position is required to support the advancement of our data, reporting, and critical ministry-related commitments.

Must Haves:

• Background in health data and public-sector/government experience is required
• Technology Stack:

Technology Stack:

• SQL
• Python
• Azure
• Power BI

Responsibilities:

• Analyze requirements, design, code reports.
• Develop script for using health system/administrative databases, including linking datasets and building analytic cohorts.
• Design, create, and maintain cloud-based data analytics models, and visualizations (dashboards and reports).
• Liaise with project members to implement products, conduct reviews, resolve operational problems, and support clinical partners in effective use of cloud-based data and analytics products.
• Analyze complex technical issues, identify alternatives and recommend solutions.
• Develop technical scripts in alignment with Mental Heath & Addiction Clinical priorities
• Develop and maintain data pipelines and analytics products supporting the Provincial Data Set (PDS) 2.0 and MHA clinical reporting priorities.

Required Skills:

• Written and oral communication skills to participate in meetings, write and/or edit systems documentation, prepare and present written reports on findings and/or alternate solutions, develop guidelines and best practices
• Experience with large health system and administrative databases, including linking datasets and building analytic cohorts.
• Background in health data and public-sector/government experience is required.
• Interpersonal skills to explain and discuss advantages and disadvantages of various approaches
• Experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end data and analytics products

Desired Skills:

• Experience with health data linkage.
• Familiarity with mental health & addictions data and clinical concepts.
• Understanding of PHIPA and data privacy/governance requirements.
• Experience working in product-team delivery environments.

Deliverables

Deliverables Include:

• Power BI dashboards and reports aligned to PDS 2.0 / MHA priorities
• Cloud-based data models and pipelines
• Technical documentation and code (SQL, Python)
• Data quality and validation outputs