Top Data Jobs in Toronto

The Data Architect will optimize data pipelines using Apache Airflow, design ETL processes, and collaborate with teams to implement data solutions.

The Data Architect will design secure, scalable data infrastructure, working primarily with Azure technologies, to facilitate data integration and support business transformation for major airport projects.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Business Data Analyst will manage EWRB requests, improve application functionality, and support Business Intelligence tasks while ensuring compliance with regulations.

The role manages event registration using the Cvent platform, ensuring accurate data collection, supporting technical needs, and fostering exceptional customer service.

The role involves reviewing and auditing evaluations of AI-generated Bash/PowerShell scripts by data annotators, ensuring quality guidelines are followed.

The role involves reviewing evaluations of AI-generated Ruby code, ensuring quality, correctness, and adherence to guidelines, while providing feedback.

Review and audit evaluations of AI-generated C# code, ensuring accuracy, functionality, and adherence to quality guidelines while providing feedback to maintain standards.

As a Business Analyst in Data & Analytics, you will engage with clients, develop data models, and enhance analytics solutions while ensuring project delivery and quality work.

The Code Reviewer will audit evaluations of AI-generated Go code, ensuring quality, correctness, and adherence to guidelines while providing constructive feedback.

The role involves reviewing AI-generated Swift code evaluations, ensuring compliance with quality guidelines, validating code correctness, and providing feedback to maintain standards.

Review evaluations of AI-generated R code, ensuring quality standards, validating code functionality, and providing constructive feedback to annotators.

Review AI-generated R code evaluations to ensure quality and correctness. Provide feedback and validate code according to guidelines.

The role involves reviewing and auditing annotator evaluations of AI-generated Rust code, ensuring quality adherence and providing constructive feedback.

The role involves reviewing AI-generated Kotlin code, ensuring conformity with guidelines, and providing feedback to maintain annotation quality.

The role involves reviewing and auditing evaluations of AI-generated C/C++ code by annotators, ensuring quality and correctness in code functionality and adherence to guidelines.

The Data Analyst role involves supporting analytics solutions, data analysis, and reporting. You’ll collaborate with teams to improve data insights and quality.

As a Data Architect, you will design scalable data solutions, collaborate with teams to implement AI solutions, and communicate findings to stakeholders.

The AI Data Engineer Intern will support applied AI projects, focusing on automation and workflows, utilizing NLP techniques and data engineering methods. Responsibilities include developing AI workflows, working with data sources, and collaborating with teams on AI applications.

Lead the design and optimization of Mistplay's rewards economy utilizing machine learning. Collaborate to develop predictive models and improve user engagement.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.