Top Data Jobs in Toronto

The Senior Data Science Engineer will design and deploy scalable machine learning models for the hospitality industry, collaborating closely with Product and Engineering teams to turn complex algorithms into effective solutions.

The Senior Data Engineer will design and expand data infrastructure, create data pipelines, and integrate diverse data sources while mentoring junior engineers and collaborating with teams on scalable data solutions.

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

The Director of Community Engagement is responsible for building relationships with communities for AI data center projects, focusing on engagement strategies, communication, and collaboration with various teams.

As a Senior Data Engineer, you will architect and maintain data pipelines, integrate diverse data sources, create dashboards, and guide architectural decisions to enhance data-driven insights.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.

As a Staff Data Engineer, you will lead the development of the enterprise data platform, drive complex data initiatives, architect scalable solutions, and mentor team members while collaborating across departments.

The Senior Technical Program Manager will drive data integration and platform delivery, manage cross-functional projects, support teams with insights, and ensure timely project completion while collaborating with Data Engineering teams.

As a Data Reliability Engineer II, you will analyze and enhance data pipelines, write scripts in Python and SQL, and work with data visualization tools. You will also engage in on-call support and improve operational quality.

The role involves designing and optimizing core database components, including storage and query engines, while ensuring system reliability.

The Senior Data Scientist II will develop machine learning models and collaborate with teams for data-driven decisions, enhancing data science methodologies.

The Associate Director will oversee data strategy and analytics, manage client relationships, and lead a team of analysts to drive data-driven marketing solutions and insights for clients, particularly in retail and digital media.

Lead the development of Clio's Data Ecosystem services, aligning product behavior and data across products while maximizing customer impact through strategic leadership and team collaboration.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure, ensuring secure systems and data integrity while mentoring others.

The Senior Data Engineer will build and optimize data pipelines, support governance, and enable analytics, ensuring high-quality data for decision-making across the organization.

Lead a team of Senior Data Analysts to drive insights from data for enhancing partner performance and member engagement at Scene+. Oversee and execute analytics strategy, collaborate with stakeholders, and ensure data-driven decision making.

The Senior Data Scientist will lead the development of ML/AI solutions to enhance business operations and support strategic decision-making across the company.

As a Senior Data Engineer, you will design and maintain data pipelines, support teams through data access, and enhance data infrastructure and analytics processes to drive business growth.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

The Manager of Data Engineering leads a data engineering team, drives data infrastructure strategies, supports individual growth, and collaborates on innovation and team performance.

Lead an AI/ML/Data Science team to develop and deploy machine learning solutions for robotics, focusing on innovative capabilities and cost-effective cloud processing pipelines.

The Head of Data and Analytics will create and manage a data strategy to support an integrated analytics function, ensuring data quality and accessibility while leading a team. This includes defining metrics, improving data governance, and delivering insights to executive leadership.

The Growth Data Analyst will build the marketing analytics ecosystem, establish performance metrics datasets, create dashboards, analyze trends, and provide insights to optimize marketing strategies. They will collaborate across teams to reconcile data and guide strategic decision-making.

The Senior Data Scientist will develop advanced analytical models for supply chain optimization using Python, PySpark, and graph theory, collaborating with various teams to deliver insights and solutions.

The Senior Data Scientist will design and manage A/B tests and experiments, analyze results, develop models, and collaborate with teams to translate insights into actionable strategies.