Top Data Jobs in Toronto

Lead the development of advanced AI and machine learning models, mentor junior data scientists, and set strategy and direction for the Data Science team.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Manager of Supply Chain Data and Automation will lead data governance, automation strategies, and analytics initiatives to enhance decision-making and operational efficiency across the supply chain.

As a Product Data Analyst, you will analyze data to drive product strategy, monitor performance, and support product teams in optimizing features and user experiences.

The Behavioral Data Scientist role at Okta involves analyzing developer engagement, building predictive models, and collaborating with cross-functional teams to enhance product strategy and user experience.

The Lead Data Scientist will drive measurable outcomes for Scribd's UGC ecosystem, leading experiment design, measurement strategies, and cross-functional collaboration to enhance products and user experience.

As a Research Scientist Manager, you will lead a global team in foundational research, focusing on AI systems, LLM training, data-centric ML, and innovation through collaboration, experimentation, and publication of findings.

The Principal Data Engineer will lead the design and implementation of streaming data pipelines, drive technical direction, mentor engineers, and ensure best practices in data governance and observability, focusing on real-time and batch data solutions.

As an Engagement Manager, lead BI projects, guide teams to transform data into actionable insights, and develop BI strategies ensuring data integrity and quality.

Review AI-generated Java code evaluations by data annotators, ensuring quality standards, correctness, and functionality while providing feedback on ratings.

The analyst will manage data integrity and operational support for investment systems, work with vendors and internal teams, and resolve data issues.

The Developer will design, develop, and maintain interactive dashboards, manage data integration, and analyze performance metrics to provide actionable insights.

Lead the Kafka, Managed File Transfer, and RPA teams, ensuring 24/7 support, operational excellence, and service reliability for data platforms.

Internship involves analyzing data, building machine learning models, collaborating with Data Scientists, and presenting insights to drive business strategy.

As a Data Analyst intern at Stripe, you'll work with data scientists to apply analytics on large datasets, drive business impact, and influence strategy through insights and dashboards. You'll gain hands-on experience in a collaborative team and enhance your technical skills under mentorship.

As a Senior Data Engineer, you will design and operate data systems, mentor engineers, and optimize data pipelines using cloud technologies.

The Data Science Intern will support building ecommerce forecasting models, develop predictive models, analyze datasets, and communicate findings across teams.

The contractor will finalize the implementation of the VIA system, integrate data from Concur, develop reporting dashboards in Power BI, and collaborate with stakeholders.

Lead and modernize operational data and platform ecosystem, managing systems stability, AI workflows, and team development while collaborating cross-functionally.

The Data Analyst will ensure data accuracy, perform validation and cleansing, prepare datasets for reporting, and support operational processes while collaborating with various teams.

The Senior Product Manager will enhance the Parameters Service and develop an Information Requirements application for Autodesk, focusing on data consistency and communication among AEC stakeholders while ensuring product delivery and alignment with customer needs.

The Senior DevOps Developer will design and manage infrastructure and CI/CD pipelines to enhance development processes. A focus on innovative solutions is required.

Lead and mentor a distributed data engineering team, ensuring reliable customer data integrations and optimizing SQL workflows for analytics and automation.