Top Data Jobs in Toronto

Design, build, and operate large-scale real-time and batch data pipelines. Improve data quality, reliability, observability, and performance. Partner with product and analytics teams, lead architecture decisions, and support production incidents and optimization.

Ensure completeness, reliability, and controls of investment-related data and security master records. Maintain data quality, implement controls, resolve discrepancies with cross-functional teams, support reporting and audits, and contribute to data management initiatives (e.g., Aladdin MVP).

Design, build, and maintain Snowflake-based data pipelines using dbt and Airflow. Own data modeling (dimensional modeling, SCDs), ingestion (batch and event-driven), data governance, observability, and tooling so teams can access reliable, documented analytics-ready datasets. Collaborate with analysts to define metrics and resolve quality issues.

Senior Data Scientist for Rovio's Beacon platform in Espoo. Develop predictive and statistical models for User Acquisition, handle long-term forecasting, uncertainty quantification, optimization, and rare-event behavior. Translate research into production, own model lifecycle from experimentation to deployment and monitoring, and collaborate closely with UA, game teams, finance, analysts, and engineers while contributing to a collaborative modelling culture.

Lead sales-focused data science initiatives: build and maintain data models and ML systems, design experiments (A/B tests), create dashboards and reports, perform exploratory analyses, and partner with Commercial, Product, and Engineering to drive business impact.

Work with Private Markets teams to design, build, and deploy AI/ML and optimization solutions (including LLMs, RAG, embeddings, and solvers), perform statistical modelling and data analysis, collaborate with stakeholders, and promote data science best practices, monitoring, and continuous improvement.

The Senior Data Engineer II will design and operate data pipelines, manage data modeling, ensure data quality, and collaborate across teams for analytics and AI integration.

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.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

Analyze user behavior and product performance, create reports and dashboards, and provide data-driven insights to teams for decision-making.

As a Senior Data Scientist, you will define Gorgias' data science strategy, work on modeling and forecasting, and implement scalable solutions for business insights across various functions.

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 Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.

Lead data strategy, manage data infrastructure, integrate AI capabilities, drive business insights, and foster a high-performing data team.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

Lead and manage a team to develop and maintain interactive dashboards and visualizations, ensuring quality delivery and data integration.

Cygnus seeks Data Scientists and Analytics Developers committed to customer success, emphasizing ownership and a strong value system.

The Data Implementation Manager leads a team for configuring and optimizing an AI-driven platform, overseeing onboarding, integration, and technical solution delivery for customers.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

The Data Governance Lead will oversee data governance initiatives, define policies, and ensure compliance across data domains while enabling trusted AI-ready data.

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

As an Analytics Lead, you will drive data-driven decisions, develop insights, engage with stakeholders, and manage performance for autonomous vehicle operations.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

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.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.