Data Scientist

Technical Standards & Safety Authority (TSSA) • Toronto, ON

13d • CA$80,700 - CA$100,000

About The Position

Data analytics sits at the heart of TSSA’s vision for a safer Ontario. As part of the Data Analytics team, you’ll build and use advanced analytics to guide our priorities, tackle complex problems and influence decisions to ensure our actions have the greatest impact on public safety. Here, your skills will help deliver a proactive, risk-informed and outcome-based approach that truly makes a difference. If you thrive on collaboration, experimentation, and continuous learning, you’ll find the support and environment to grow with us.

Requirements

• Relevant educational background, with a Bachelor’s or Master’s degree in Data Science, Analytics, Engineering, Computer Science, or a related quantitative field.
• Proven data science experience, with 2+ years in analytics, machine learning, or quantitative roles involving large datasets and model development.
• Strong expertise in statistical analysis and machine learning, with the ability to apply advanced techniques to real-world business problems.
• Advanced technical skills, including proficiency in Python, R, SQL, and experience with Azure, Dataiku, or similar analytics platforms.
• Knowledge of data visualization and database technologies, including Power BI and relational and non-relational data environments.
• Ability to translate technical concepts into business value, communicating complex findings clearly to both technical and non-technical audiences.
• Understanding of data governance and compliance practices, including privacy, security, and responsible use of data.
• Strong analytical judgment and problem-solving skills, with the ability to work independently and navigate complex challenges effectively.

Responsibilities

• Identify opportunities for AI and advanced analytics, applying data science techniques to solve business challenges and improve organizational performance.
• Develop, deploy, and optimize predictive models, using structured and unstructured data to deliver accurate, reliable, and scalable analytical solutions.
• Enhance model performance and interpretability, applying feature engineering, validation techniques, and ongoing monitoring to maintain model effectiveness.
• Support risk-based decision-making, providing analytical insights and recommendations to inform compliance, inspection, and regulatory activities.
• Manage the AI model lifecycle, ensuring effective model governance, documentation, version control, and ongoing maintenance.
• Collaborate across teams to enable analytics success, partnering with business stakeholders and data engineering teams to ensure data is accessible, relevant, and actionable.
• Promote a data-driven culture, contributing to analytics knowledge sharing, model reviews, and the adoption of advanced analytics across the organization.

What This Job Offers

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