Top Data Jobs in Toronto

Serve as the embedded data partner to Finance: build and maintain finance dashboards and dbt/SQL models, automate reporting cadences, surface trends and risks, and present actionable insights to technical and non-technical stakeholders to inform financial decisions.

As a Senior Data Scientist, you will develop machine learning models for logistics, credit assessment, retailer growth, and optimize marketing efforts to enhance customer acquisition and engagement.

The Senior Cloud Systems Engineer will design, implement, and manage cloud infrastructure, ensuring security, compliance, and high availability while leading team initiatives and collaboration across functions.

Design, implement, and manage Azure cloud solutions with a focus on automation. Develop CI/CD pipelines, ensure security compliance, and mentor IT team members.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

Lead and manage Data Engineering teams for platform and product outcomes, overseeing data migrations, team development, and technical leadership.

The role involves managing the Data Catalog platform, providing user support and training, collaborating on data governance, and evaluating system enhancements.

Lead the architectural design of machine learning systems, develop high-impact models, and mentor junior data scientists while ensuring data transparency and ethical AI practices.

The Clinical Data Reviewer will work in the oncology field, ensuring data integrity for clinical trials and collaborating with teams to meet customer needs.

The Senior Director will lead AI transformation in procurement, creating research content, providing actionable insights, and mentoring team members. This role requires expertise in AI technologies, procurement processes, and collaborative engagement with clients and executive teams.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

Lead a data engineering team responsible for customer integrations, ensuring quality, improving processes, and building data pipelines in a hands-on management role.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Account Executive will drive business growth by managing enterprise-level client relationships, generating revenue, and collaborating with channel partners, while maintaining customer engagement throughout the sales process.

The Test Data Manager oversees governance and coordination of test data for a financial services program, ensuring availability, integrity, and compliance across environments and teams.

Assist in data collection, organization, analysis, and reporting while collaborating with teams to develop insights and strategies.

The Engagement Manager establishes partnerships with Canadian customers, enhances their use of Databricks, ensures satisfaction, manages engagements, and collaborates across teams to drive success.

The Data Analytics and AI Architect will define and advance the organization's data and AI architecture, ensuring alignment with business strategy. Responsibilities include designing architectures, researching technologies, and managing compliance.

The Data Migration Specialist will manage end-to-end data migrations, ensuring data quality and effective communication with clients and internal teams while resolving challenges.

The Senior Product Manager will oversee integration of structured data into the AlphaSense platform, manage product lifecycle, and liaise between technical and user needs. Extensive experience in fintech or financial services required.

Design and implement scalable data architectures, collaborate with teams to optimize data pipelines, develop data models, and ensure data governance and quality.

The Senior Data Engineer will build and maintain datasets, create scalable data pipelines, and collaborate with teams to enhance data utility for decision making in a fast-paced environment.

The role involves designing and maintaining low latency streaming systems, enhancing data platforms, and collaborating with teams to improve architecture and operations.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

The Software Engineer will design, develop, and maintain data platforms using streaming technologies, collaborating with teams to enhance data architecture.