Job Title: Senior Data Science Developer Location: Toronto, Ontario, Canada Work Model: Hybrid Duration: 5 months Extension: 1 Time 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.

Location: 3 days in office at the manager''s discretion Description / Responsibilities / Skills 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 & Skill Set Requirements Required Skills Written and oral communication skills to participate in meetings, write and/or edit systems documentation, prepare and present written reports Interpersonal skills to explain and discuss advantages and disadvantages of various approaches Experience with large health system and administrative databases, including linking datasets and building analytic cohorts.

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.

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 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 Knowledge Transfer The resource will ensure full knowledge transfer is provided to the Agency team before end of engagement.

The resource must provide all related documentation as part of knowledge transfer protocol.

The resource will work collaboratively with the Agency team throughout the assignment and ensure key deliverables, milestones, and documentation are shared. A walkthrough of any demos, development, etc. will be required before the end of the engagement.

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