Top Data Jobs in Toronto

Lead the Kafka, Managed File Transfer, and RPA teams, ensuring 24/7 support, operational excellence, and service reliability for data platforms.

As a Senior Data Scientist, you will analyze complex datasets to provide actionable insights, mentor analysts, and collaborate cross-functionally to improve product outcomes.

Lead initiatives in data integration, engineering data solutions, building ML model pipelines, and coaching junior resources while ensuring high standards and best practices.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

The Principal Data Strategist will lead data strategy engagements, aligning data initiatives with business goals, facilitating stakeholder alignment, and designing governance frameworks while driving account growth and advancing the practice within Caylent.

The Senior Product Manager will enhance the Parameters Service and develop an Information Requirements application for Autodesk, focusing on data consistency and communication among AEC stakeholders while ensuring product delivery and alignment with customer needs.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

As a Senior Software Engineer in Telematics, you will develop backend systems, lead projects, and enhance data insights for safety innovations at Lyft.

The Product Data Scientist will analyze user behavior, define product metrics, design experiments, and build dashboards to support data-driven product decisions.

The Machine Learning Engineer / Data Scientist will build and deploy machine learning solutions, working through the ML lifecycle from problem framing to production.

Lead the delivery of scalable kdb+ solutions for financial clients. Design robust architectures, mentor developers, and drive innovation in data management.

Develop and maintain kdb+ applications, analyze time-series data, mentor junior developers, and collaborate with teams to deliver solutions.

Seeking a Senior Data Engineer to develop and maintain data pipelines, collaborating with data science teams to deliver accurate data for business insights.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Data Scientist will develop machine learning models, analyze large datasets, support workflows, and communicate insights to stakeholders.

The Data Scientist will support retail analytics, build statistical models, and collaborate on insights to optimize marketing programs and customer engagement.

Own end-to-end labeling operations for AI/ML projects, manage labelers, design workflows, ensure quality, and drive process improvements.

As a Data Scientist/Senior Data Scientist, you will design, build, and deploy predictive models using large datasets to enhance Kindsight's fundraising tools, while collaborating with cross-functional teams and mentoring junior staff at the senior level.

Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.

The Junior Data Scientist will design and develop data models using Machine Learning and Analytics for trading and compliance in finance.

The Data & AI Solution Architect will design data and AI solutions, collaborate with teams, validate architectures, and present findings to stakeholders.

The Senior Software Engineer will develop AI-driven internal tools for automation across Sales, Customer Success, and Marketing, ensuring scalable workflows and system integrations with various platforms.

The Associate Data Governance Specialist will support data governance policies, assist in data classification and security, and maintain data management tools to ensure compliance and quality across the data lifecycle.