Top Data Jobs in Toronto

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, integrate tools, and ensure data quality for AI projects.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The Lead Data Scientist will develop and integrate machine learning models to mitigate cyber risks, collaborating across teams to ensure actionable insights that drive business value. The role focuses on model deployment, customer-centric solutions, and effective communication with stakeholders.

The Data Scientist will analyze automotive data, develop predictive models, work with clients, and create reports and visualizations using advanced data techniques.

As a Principal Data Engineer, you'll modernize systems, build scalable data infrastructure, and lead a team to improve data processing and analytics pipelines at Autodesk.

The Finance Data Analyst collects, organizes, and analyzes financial data, develops reports and models, and drives process optimization through collaboration and automation.

As a Junior Data Analyst summer student, you will aid in BI projects, analyze data, and support data governance initiatives while collaborating with teams to provide insights.

The Senior Data Analyst will drive data-driven decisions by collaborating with stakeholders, analyzing data trends, and providing advanced insights using visualization tools.

The Principal Data Analyst will drive data strategy, collaborate with teams to address business issues, analyze complex datasets, and generate insights to inform product decisions.

Lead the design and development of advanced AI/ML solutions, focusing on model design, collaborative development, and deployment while ensuring alignment with business goals.

Lead AI/ML solution development with a focus on delivering innovative tools. Collaborate with stakeholders to improve and implement data-driven models. Manage model quality, evaluate new technologies, and communicate findings across diverse teams.

The Data Architect at Kainos will guide data projects, manage a team, and provide technical leadership and client engagement.

The role involves designing scalable applications and microservices, requiring extensive experience in Java and big data tools. A strong background in Capital Markets and Agile teams is necessary.

Analyze data and support GSK initiatives by identifying trends, generating reports, and collaborating with team members to provide insights.

The Sr. Manager, Data Engineering leads a data team, oversees data platform development, ensures compliance, and collaborates with stakeholders to align data services with business objectives.

As a Research Engineer, you'll innovate machine learning solutions, develop scalable data pipelines for LLM training, and collaborate with global teams.

The Data Scientist II will develop ETL pipelines, create metrics dashboards, and build AI/ML products, collaborating with PMs and engineers.