Top Data Jobs in Toronto

The Data Engineer designs and develops data pipelines, manages data lakes, and implements analytics solutions using Azure technologies, focusing on ETL/ELT processes and automation.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

As a Compliance Data Analyst at Lyft, you will analyze compliance processes, develop data pipelines, create reports, and collaborate cross-functionally to ensure regulatory obligations are met.

The Technical Data Integrator ensures seamless data flow from various systems, designing and maintaining integration solutions to support analytics and decision-making.

Lead the development and maintenance of scalable data pipelines and enterprise data systems, ensuring data quality and governance while collaborating with cross-functional teams.

As a Data Engineer, you will develop and maintain Enterprise Data systems, optimize data flows, and ensure data quality and reliability. Collaborate with stakeholders and contribute to enhancing data products for investment decision-making.

The Data Scientist will manage ML/AI use cases, design models, enhance data products, and mentor team members while collaborating on innovative analytics solutions.

The Senior Data Scientist will design and maintain metrics, reports, and dashboards, develop algorithms, conduct data analysis, and collaborate with teams to enhance business decisions.

The Principal Data Scientist will lead the data science team, develop data products, and drive insights through advanced analytics and machine learning techniques.

The Manager, Data Science will lead a team to develop AI and machine learning models, support product features, and drive data applications across the organization.

As a Senior Software Engineer, Data, you will design scalable data pipelines, collaborate with cross-functional teams, and enhance data quality frameworks to support our CRM platform.

The Senior Data Scientist develops data capabilities, analyzes performance metrics, builds data processes, and collaborates with teams to optimize business decisions.

Lead the Product function for data developer experience teams, improve tools, track metrics, and collaborate with cross-functional teams to innovate in data application.

This role involves bridging business and technical teams, managing BI tools, optimizing data workflows, and ensuring reliable reporting practices.

The Director of Fraud and Risk Management will lead the COE, develop strategies for fraud prevention, and improve compliance, collaborating extensively across teams.

The Senior Data Developer will design and maintain pipelines, optimize ML models, and support scheduling intelligence for healthcare appointments.

Manage data analytics and innovation within Assurance and Advisory, leveraging AI and automation to improve audit processes and insights.

The Senior Data Engineer will design, build, and maintain data integration and analytics solutions, optimize data pipelines, and ensure data quality across platforms.

As a Data Analyst, you'll own the analytics strategy for products, collaborate with teams, and leverage AI tools to deliver insights and enhance decision-making for products used by professionals worldwide.

As a Software Engineer II in Data Engineering, you will develop APIs, data pipelines, and tools to support data-driven operations across various teams.

As a Business Data Analyst Intern, you'll support data management tasks, collaborate with teams, assist in data analysis and reporting, and help document business processes and objectives.

The Meter Data Analyst prepares metering data for billing, processes data, validates and resolves anomalies, and aids in managing meter data systems.

As a Senior Fullstack Engineer, you'll develop and maintain core data browsing features, collaborate with teams, and mentor engineers while contributing to the Sentry stack.

The Data Engineer will support the development and maintenance of the Digital Banking data platform, ensuring data integrity and compliance, while building scalable data solutions and providing stakeholder support.

As an Applied Data Scientist, you'll ensure data integrity, own modeling tasks, collaborate across teams, and maintain documentation to support data-driven decisions.