Client: Ontario Health (Digital Excellence in Health)

Job Title: Data Science Developer - Senior

Job Location: Hybrid - 3 days onsite | 525 University Avenue, Toronto

Contract Duration: 166 Days

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:

- SQL
- Python
- Azure
- Power BI

Develop and maintain data pipelines and analytics products supporting the Provincial Data Set (PDS) 2.0 and MHA clinical reporting priorities.

Public Sector Experience: Preferred

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

Technology Stack :

- SQL
- Python
- Azure
- Power BI

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:

- 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

NOTE: Resumes submitted are to include a reference to the candidate's LinkedIn account (Must-have along with the other must-have identified)

📌 Data Science Developer - Senior (Toronto)
🏢 GlobalVariable
📍 Toronto