Top Data Jobs in Toronto

As a Senior Data Analyst, you will shape performance measurement, support growth marketing through A/B testing and customer analysis, and develop data models.

The role involves defining and owning the data strategy, establishing governance standards, and leveraging data for growth, analytics, and predictive modeling while collaborating across various teams to support institution-wide insights and decision-making.

The Principal Data Scientist will lead the development of machine learning models and analytics solutions, collaborating with cross-functional teams to address complex business problems and ensure successful model deployment.

The Director, Risk & Data will lead a global team in risk analytics, manage production and reporting processes, and drive strategic initiatives within the investment risk management sector.

As a Manager of Data Infrastructure, you'll lead a team of engineers, manage data lake infrastructure, drive agile delivery, and partner on governance controls while ensuring operational excellence.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

The Sr. Data Analyst will support Finance and Payments with SQL/dbt modeling, building dashboards, maintaining financial datasets, and collaborating with stakeholders for accurate insights.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Collaborate with engineers to build AI design systems, optimize data infrastructure, and manage large-scale distributed systems for model development.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

As a Data Engineer at Spotify, you will build data pipelines, improve data quality, and collaborate with teams to enhance productivity and insights.

The Staff Data Scientist will use economics and data science to drive business decisions, analyze usage patterns, and collaborate with teams for product improvement.

Lead the strategic development of Benevity’s data ecosystem. Oversee data governance, lifecycle management, requirements analysis, and ensure compliance with regulatory standards while managing backlogs for product features.

As a Senior Data Scientist at Lyft, you will analyze data to inform business decisions, design experiments, and collaborate with cross-functional teams to enhance the rider app and overall user experience.

The Senior Data Scientist will leverage data to shape business decisions at Lyft, collaborating with various stakeholders to monitor performance and drive growth.

The Data Associate manages data integrity and quality, performs data validation, and prepares reports for clients in the infrastructure sector. Responsibilities include data extraction, organization, and collaborating with product and customer success teams.

As a Data Analyst at 7shifts, you'll analyze data using SQL, build dashboards, collaborate on data needs, and present insights to drive business impact.

Lead a data engineering team to develop scalable data pipelines and solutions, ensuring high-quality data for analytics and decision-making.