Top Data Jobs in Toronto

The Data Architect Director defines and governs enterprise data architecture, enhances AI usage, and leads data strategy and governance initiatives to support analytics and operational efficiency.

As a Senior Data Analyst, you will manage the data pipeline by architecting and enhancing workflows, ensuring data quality, and automating processes to support enterprise-level decision making.

As a Data Analyst, you will build and operate the data pipeline, ensuring pipeline quality, automation, and analysis to support customer needs. You will collaborate across teams and use SQL and Python for data handling and automation.

As a Data Scientist II, you'll develop data-driven solutions using machine learning, collaborate cross-departmentally, and maintain data mining tools to deliver actionable insights.

The Senior Data Scientist will optimize supply chain strategies using advanced statistical techniques, develop predictive models, and collaborate with teams to innovate data-driven solutions.

Lead software engineering and data initiatives, defining architecture, driving product outcomes, and building high-performing teams to support rapid expansion.

Design and develop data pipelines and applications for Growth, Sales, and Marketing functions at Stripe, ensuring data integrity and influencing project outcomes.

The Applied Data Scientist will leverage data science and machine learning to enhance Caseware's cloud platform, focusing on real-world applications, model deployment, and collaborative problem-solving across teams.

The Product Analyst will analyze product and customer data, define success metrics, build dashboards, and support data-driven decision-making across teams.

The Data Analyst will gather, clean, organize, and analyze data, generating owner-specific reports and collaborating with teams to enhance data quality and insights.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Staff Data Analyst partners with teams across Marketing, Sales, and Customer Success to optimize resource deployment, analyze performance, and drive actionable insights supporting revenue goals.

The Data Researcher will research and validate data on Web3 projects, ensuring accuracy and quality while improving workflows and collaborating with teams.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

Define and develop logical and physical data models for financial and operational reporting by partnering with stakeholders and documenting data needs.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

As a Senior Product Data Analyst, you will provide strategic data insights to the Product team, supporting decision-making through data analysis and fostering data literacy.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

Join VAST Data as a Senior Software Engineer to design and implement backend components for a scalable, AI-native vector database, focusing on low-level systems programming and distributed computing.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Lead Data Scientist responsible for driving measurable outcomes through experiments, data analysis, and creating metrics to track performance. Collaborate with engineering for productionizing models and enhancing recommendation systems using AI technologies.

Lead applications systems analysis and programming activities, partnering with management teams to enhance business processes and systems improvements. Serve as a subject matter expert, managing multiple projects and mentoring mid-level developers.