Top Data Jobs in Toronto

As a Product Manager, you will develop customer-centric products leveraging technology, lead cross-functional teams, and define success metrics while fostering innovation and team culture.

Lead digital transformation initiatives, enhance commercial strategy, manage technology portfolios, and drive operational excellence in marketing and sales.

The Product Marketing Manager will focus on the Public Sector, developing messaging and content, supporting sales enablement, and collaborating with teams to drive market success.

As a Product Marketing Manager, you'll own the Financial Services vertical, develop messaging and content, support industry solution launches, and collaborate with teams to drive customer success.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Principal Technical Consultant specializes in data architecture, integrations, and provides technical guidance to clients to enhance ServiceNow platform outcomes through advanced integration solutions.

The VP of Insurer Sales leads and develops the sales team, drives growth, manages relationships with insurers, and influences product development.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

As a Senior Associate, Data Analyst at Capital One, you will analyze datasets to support business strategies, communicate insights, and enhance decision-making through data visualization and stakeholder collaboration.

The role focuses on building out and expanding Cloudflare's global network, managing datacenter installations, improving infrastructure processes, and facilitating technical deployments.

Lead a team of engineers in network and data center infrastructure operations. Drive operational excellence and project delivery while ensuring performance and security.

The Senior Product Manager will develop product strategies, conduct market research, manage product lifecycles, and collaborate with teams to ensure success for Consumer Products.

The Enterprise Architect leads the development of AI and Data architecture, aligning technology with business needs while ensuring adherence to governance standards. They provide strategic guidance, collaborate with stakeholders, and utilize advanced technologies to enhance solutions and processes.

CommBank is seeking Indigenous job seekers for various roles across its sectors, offering traineeships, internships, and direct employment opportunities with support from an Indigenous Careers team.

Lead the data science team in developing machine learning models for optimization and audience modeling, while driving business value and collaboration with stakeholders.

The Engineering Manager will lead the Data Engineering and Analytics teams, managing data infrastructure and BI capabilities, while driving Databricks platform strategy and ensuring data quality for business insights.

Lead and deliver advanced AI and machine learning solutions at Mastercard, defining strategy and driving execution in data science initiatives.

The role involves using machine learning and data science skills to develop automated solutions, enhance marketing, and support product functions, requiring statistics expertise and technical knowledge.

The Senior Data Scientist will design and deploy machine learning models, analyze data for business insights, and optimize AI applications in collaboration with teams to drive important business decisions.

Join CrowdStrike as a UI engineer to build an advanced data visualization framework, collaborating with interdisciplinary teams and enhancing user experiences in cybersecurity.

The Data Scientist will analyze user behavior, design experiments, create dashboards, and collaborate with cross-functional teams to drive business growth.

As a Staff Data Scientist for Dropbox's AI Products, you will define the mission, guide teams, influence product direction, and work with cross-functional teams to drive AI/ML capabilities.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.

Develop predictive models and optimization algorithms, collaborate with various teams, and analyze data to enhance business decision-making and operational improvements.

The role focuses on consulting and configuring ServiceNow integrations and data architecture, ensuring integration projects succeed and meet customer objectives.