Top Data Jobs in Toronto

Assist in building and maintaining scalable data pipelines, collaborating with teams to deliver insights and enhance AI capabilities, while gaining direct mentorship from senior engineers.

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

The Senior Financial Data Analyst - FinOps delivers financial analytics, consolidates data sources, develops financial models, and partners with various teams to support decision-making.

The Full-Stack Developer will design, develop, and maintain integrations, APIs, and applications for MaintainX, focusing on high-quality, reliable code and collaboration with teams.

Lead Data Scientists manage data science projects, collaborate with stakeholders, implement data strategies, and ensure data quality while mentoring junior team members.

The Senior Data Scientist - GenAI develops analytical solutions using ML and AI techniques, focusing on generative AI projects, model optimization, and collaboration with engineers to enhance business processes.

The Applied AI Specialist will design and maintain data pipelines for ML, prepare datasets, collaborate with AI engineers, and ensure data reliability for AI applications.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

As a Data & Integration Engineer, you'll design and build integrations for ERP and CRM systems, ensuring reliable data flows and collaboration with cross-functional teams.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

The Staff Data Scientist will lead data science projects, develop machine learning models, and align solutions with business goals while mentoring team members.

As a Senior Data Scientist, you'll integrate Vision Language Models into analytics systems, optimize performance, and collaborate across teams to develop computer vision features.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

As a Data Developer, you'll maintain and design data systems for billions of events daily, build ETL pipelines, optimize data warehouses, ensure data quality, and collaborate with teams to enhance customer acquisition and product performance.

The Senior Data Engineer at Lyft will enhance data processing, develop data models, monitor data quality, and collaborate across teams to improve mapping experiences.

The Senior Data Analyst will collaborate with cross-functional teams to develop data-driven insights, manage stakeholder interactions, and utilize analytical tools for effective decision-making in health analytics.

This role involves managing data analytics for liquidity and funding, utilizing advanced data strategies, developing risk models, and collaborating with teams to drive data-driven decision-making in banking operations.

The Data Scientist Intern will enhance and develop AML monitoring solutions using data science techniques. Responsibilities include model development, analysis, and collaboration with analytics teams.

The role involves analyzing Capital and Liquidity data, improving business processes, and supporting Product teams with data-driven solutions and project initiatives.

As a Data Engineer Intern at RBC, you'll design and develop enterprise data management workflows, automate data pipelines, and collaborate in an agile team to enhance RBC's data initiatives.

The role involves building an AI chatbot, developing NLP tools, and predictive models, and creating dashboards for liquidity challenges.

Develop and implement AI models, preprocess datasets, apply generative AI techniques, and collaborate with teams to align data science solutions with business objectives.

Manage enterprise-wide Master Data Management strategy, ensuring data quality and governance. Lead a team, improve data processes, and oversee compliance.