Data Science Developer - Senior

Job Title: Data Science Developer - Senior

Location: Toronto, ON

Work Model: Hybrid - 2 days onsite

Duration: 6 months

Submission Deadline: , 1:00 p.m.

Must Haves

• Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.
• Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
• Deep experience with modern technology stacks:
  Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
• Experience assessing client information-technology needs and objectives.
• Experience problem-solving to resolve complex, multi-component failures.
• Public Sector Experience
• Looking for the same candidate to cover both data engineering/data pipeline work and data science specialist work.

Description / Responsibilities / Skills

Position Summary

• Public Health Ontario (PHO) is building provincial enhanced analytics capability and infrastructure that turns public health data into timely analytics, surveillance, and decision support.
• The role combines two functions. As a Data Engineer, it automates the data pipeline for analytic products and advanced analyses.
• As a Data Science Specialist, it helps identify and prioritize use cases and integrate AI techniques (machine learning, NLP) into PHO's work.
• The role supports both foundational capability/infrastructure work and Health Map data ingestion and aligns with and advances the Public Health Data Utility (PHDU) on PHO's Azure platform.

Key Responsibilities

• Participate in product teams to analyze system requirements, and architect, design, code, and implement cloud-based data and analytics products that conform to standards.
• Liaise with IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in the effective use of cloud-based data and analytics products.
• Automate the data pipeline for analytic products and advanced analyses, including ingestion, ETL, and production for the foundational capability and for Health Map (DLSPH model data).
• Help identify and prioritize analytic use cases and integrate AI techniques (machine learning, NLP) into PHO's work.
• Increase PHO's capacity for modelling, forecasting, and scenario analysis.
• Build on and advance the PHDU and PHO's Azure data and analytics platform; support data acquisition through data-sharing and governance processes where required.

Deliverables

• Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and Health Map.
• Analytics models and visualizations (dashboards and reports) conforming to standards.
• Prioritized AI / ML use cases and supporting models (forecasting, scenario analysis).
• Knowledge-transfer documentation and sessions for PHO technical staff.

Experience & Skill Set Requirements

Required Skills

• Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
• A team player with a track record for meeting deadlines.

Desirable Skills

• Written and oral communication skills to participate in team meetings, write and edit systems documentation, prepare and present written reports on findings and alternative solutions, and develop guidelines / best practices.
• Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
• Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting, designing, and implementing end-to-end data and analytics products.

Expected Skills

• Be an advanced professional able to apply concepts, practices, and procedures in practice.
• Work with minimal direction and lead and train others in technical components and concepts.
• Plan, lead, and deliver complex deliverables that provide options for decisions within the organization.
• Bring a high level of expertise in the required skill set, specialized in the technical area, and provide specific advisory support as required.