Data Science Developer - Senior

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 on-site 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.