Senior Data Science Developer

BuzzClan; Toronto; Hybrid; CAD 110,000 - 150,000; Full time

Job summary

BuzzClan is seeking a Senior Data Science Developer to join on a 6+ month contract in Toronto (Hybrid). The role focuses on data science, analytics, data engineering, and healthcare data initiatives within the public sector.

You will design and implement analytics solutions, build data pipelines and dashboards using SQL, Python, and Azure, and collaborate with clinical partners to translate complex data into actionable insights.

Qualifications

• Strong experience in data science, data analytics, data engineering, or a related quantitative field.
• Proven experience analyzing requirements, developing analytics solutions, designing reports, and supporting real-world healthcare data and reporting use cases.

Responsibilities

• Experience designing, developing, and maintaining cloud-based data analytics models, data pipelines, dashboards, and reporting solutions.
• Hands-on experience with Microsoft Azure for cloud-based data analytics and data engineering.
• Strong experience with Power BI for developing dashboards, reports, data visualization, and communicating analytical insights.

Skills

Data analytics

Data engineering

SQL

Python

Data pipelines

Dashboards

Healthcare data

Public sector experience

Cohort development

Data modeling

Tools

Azure

Power BI

Azure Data Services

ETL

Job description

Job Title: Data Science Developer - Senior

Location: Toronto, ON (Hybrid)

Client: Public Sector

Duration: 6+ Months Contract (Possibility for Extension)

Required Experience and Skills

• Strong experience in data science, data analytics, data engineering, or a related quantitative field, preferably within a healthcare or public-sector environment.
• Proven experience analyzing requirements, developing analytics solutions, designing reports, and supporting real-world healthcare data and reporting use cases.
• Hands-on experience working with large health system and administrative databases, including linking datasets and building analytical cohorts.
• Strong proficiency in SQL and Python for data analysis, transformation, scripting, data validation, and analytics development.
• Experience designing, developing, and maintaining cloud-based data analytics models, data pipelines, dashboards, and reporting solutions.
• Hands-on experience with Microsoft Azure for cloud-based data analytics and data engineering.
• Strong experience with Power BI for developing dashboards, reports, data visualization, and communicating analytical insights.
• Experience developing and maintaining data pipelines and analytics products supporting clinical reporting and healthcare data initiatives.
• Experience analyzing complex technical issues, identifying alternatives, and recommending effective data and analytics solutions.
• Experience collaborating with technical teams, project stakeholders, and clinical partners to implement analytics products and resolve operational issues.
• Experience creating technical documentation, guidelines, best practices, and conducting knowledge-transfer sessions for technical teams.
• Strong written and verbal communication skills with the ability to explain technical concepts and analytical findings to both technical and non-technical stakeholders.

Nice-to-Have Skills and Experience

• Experience with health data linkage, administrative healthcare datasets, and analytical cohort development.
• Familiarity with Mental Health & Addictions data, clinical concepts, and related healthcare reporting requirements.
• Understanding of PHIPA, health data privacy, governance, and data protection requirements.
• Experience working within public-sector, government, provincial health authority, or Ontario Health environments.
• Experience supporting Provincial Data Set (PDS) 2.0 or similar provincial healthcare data/reporting initiatives.
• Experience developing cloud-based data models, pipelines, and analytics products using Azure services.
• Experience with data quality, validation, reconciliation, and analytical reporting.
• Experience working in product-team delivery environments and collaborating across multiple project streams.
• Experience preparing and delivering technical demonstrations, walkthroughs, and knowledge-transfer sessions.
• Experience with healthcare clinical reporting, particularly Mental Health & Addictions clinical priorities.