Data Scientist - Fixed Term Contract

Infrastructure Ontario • Toronto, ON

1d • CA$86,800 - CA$96,000 • Onsite

About The Position

Infrastructure Ontario (IO) is seeking a Data Scientist for a fixed-term contract position to support its enterprise-wide data strategy. This role involves strengthening analytics capabilities to leverage data for solving complex business problems, supporting evidence-based decision-making, and improving service delivery. The Data Scientist will work closely with business stakeholders, technology teams, and analytics professionals to support data-driven decision-making through dataset development, data analysis, analytical modeling, and stakeholder engagement. This position offers a unique opportunity to gain hands-on experience across analytics, data literacy, and enterprise data platform initiatives, contributing to organizational priorities and personal interests.

Requirements

• A few years of experience in the field of data analytics or data science, turning data into insights and supporting data-driven decision-making. Relevant co-op and internship experience may be considered.
• Experience performing data analysis, building datasets, developing reports and dashboards, and delivering insights that support business decision-making.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, Data Science, Engineering, or a related field.
• Experience using SQL and programming languages such as Python or R for data extraction, transformation, analysis, automation, and development of analytical datasets.
• Knowledge of data modelling, database management, data preparation, data quality techniques, and modern analytics platforms.
• Knowledge of data visualization and business intelligence reporting, including experience with Excel, Power BI, or equivalent tools.
• Strong communication skills, able to translate complex analytical concepts into clear, actionable insights for non‑technical audiences.
• Ability to work with stakeholders to gather requirements, understand business needs, and translate them into analytical and reporting solutions.

Nice To Haves

• A Master's degree is considered an asset.
• Experience working with cloud-based analytics environments such as Databricks, Microsoft Fabric, or equivalent platforms is an asset.
• Familiarity with statistical modelling, predictive analytics, machine learning, and AI concepts is considered an asset.
• Experience working in a public sector or with a public sector entity (asset).

Responsibilities

• Support the Data & Analytics team members and business stakeholders in gathering requirements, documenting business needs, and identifying opportunities where data and analytics can support decision-making.
• Assist in translating business questions into analytical approaches, datasets, reports, dashboards, and other data-driven solutions.
• Support analytics initiatives through stakeholder coordination, requirements documentation, and communication of analytical findings to technical and non-technical audiences.
• Extract, cleanse, transform, and integrate data from multiple systems to create trusted datasets for reporting, analysis, and decision support.
• Design, develop, and maintain curated datasets within IO's data platform to support reporting, analysis, and self-service analytics.
• Leverage the enterprise data platform to profile, validate, transform, and prepare data for reporting, analysis, and decision support activities.
• Develop and maintain dashboards and reports that provide stakeholders with timely, reliable, and actionable information.
• Partner with business stakeholders to improve data quality and ensure consistent use of enterprise data assets as required.
• Analyze data to identify trends, patterns, risks, opportunities, and actionable insights.
• Conduct exploratory data analysis, quantitative assessments, and business-focused modelling to support planning, prioritization, performance evaluation, and decision-making.
• Apply statistical and analytical techniques to understand business drivers, evaluate outcomes, and support strategic and operational initiatives.
• Develop analytical tools and models using Python, SQL, or R, including forecasting, scenario analysis, prioritization frameworks, cost-benefit analysis, and multi-criteria decision-support solutions where appropriate.
• Support the coordination and delivery of data literacy initiatives, including communications, stakeholder engagement, documentation, and related enablement activities.
• Maintain training materials, user guides, and knowledge resources to promote understanding and adoption of the enterprise data platform, data products, and analytical solutions.

Benefits

• Commitment to creating a diverse, equitable and inclusive culture that promotes a sense of belonging and represents and reflects the needs of the communities we serve.
• A comprehensive package that covers health, dental, vision, out-of-country care, paramedical services, and more.
• Support for professional development opportunities for all colleagues through a broad range of learning programs that include in-person and online training, leadership development, and support for colleagues’ well-being.
• IO will also cover the costs associated with up to two membership and license fees per year for eligible colleagues if directly related to the employee’s role.
• Access to a suite of virtual healthcare options to support non-urgent medical needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level