Top Data Jobs in Toronto

As an Intermediate Data Engineer, you will develop data infrastructure and products, collaborate with diverse teams, and enhance technical quality across the data team.

Lead the PoC data science team, delivering POCs for enterprise clients, mentoring team members, and driving fraud analytics and ML solutions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

The Strategic Customer Representative drives growth within data centre construction sectors, manages client relationships, and coordinates projects with multiple stakeholders.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

Build, deploy, and iterate predictive models and real-time scoring pipelines using behavioral and clickstream data to improve lead quality and campaign optimization. Collaborate with marketing, media buying, and analytics teams to translate business needs into hypotheses, perform exploratory analysis, monitor model performance, and communicate statistically rigorous insights to non-technical stakeholders.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

Design, build, and maintain BI dashboards and reports; write advanced SQL to extract and validate data; recommend KPIs; manage reporting projects; partner with Product/Revenue/Operations; own BI reporting cycles and adopt AI/LLM tools to accelerate analysis and automation.

The Data Editor will research, edit, and ensure quality metadata for TV and movie content, ensuring accuracy and adherence to standards.

Develop and support features of the DataRobot GenAI platform, focusing on unstructured data connectivity and processing, while driving key projects and milestones.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

The Data Solutions Analyst will support sales by providing data expertise, creating sales collateral, configuring demo environments, and managing data integrations.

Own and enhance Venn's data infrastructure, build reliable ETL/ELT pipelines, design data models, partner with engineering, improve data quality, and support analytics for business decisions.

The role involves designing and maintaining interactive dashboards, optimizing data models, writing SQL queries, and conducting analytical deep dives to support revenue operations.

Own Venn's data infrastructure, build reliable data pipelines, design trusted data models, and improve data quality across the organization to support business decisions.

The Senior Geo Data Scientist will develop advanced machine learning models for geospatial data, build scalable data pipelines, and enhance model performance for mineral exploration.

The Data Analyst will build key data models and metrics for decision-making, partner with stakeholders for analytical insights, create datasets for self-service reporting, and ensure data reliability through quality checks.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

The Principal Data Engineer at RAVL will design and implement enterprise-grade data and AI platforms, mentor engineers, and influence architectural standards across teams.