Top Data Jobs in Toronto

The Principal Data Engineer will lead modernization of data platforms, drive ETL development, ensure data governance, and collaborate with cross-functional teams.

The Account Executive will drive revenue by engaging mid-market and enterprise businesses in data-sensitive sectors, managing the sales process, and building relationships with C-level stakeholders.

Lead initiatives to engage technical community, create deep technical content, and showcase Shakudo's platform capabilities through various formats and collaborations.

Utilizes advanced algorithms to analyze data, builds predictive models, collaborates on data strategies, and maintains data pipelines. Guides business decisions through data insights.

The Manager, Data Analytics is responsible for delivering reporting solutions, specializing in risk management, providing insights, and supporting operational programs. They negotiate, develop strategies, and manage databases to align with data governance, ensuring compliance and efficiency in risk reporting processes.

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

The role involves designing and developing machine learning solutions for fraud detection and prevention. Responsibilities include analyzing datasets, creating models, collaborating on projects, and communicating results effectively.

As a Data Scientist, you will drive innovation in Data Science by developing analytical tools, creating new features from data, analyzing predictive power, and ensuring quality control in analytical outputs.

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The Regulatory Execution Data Governance Lead Analyst Vice President will strategize, implement, and manage data governance policies and frameworks while ensuring compliance and performance monitoring across multiple teams.

As a Senior Business Analyst, you will support data operations, manage vendor relations, integrate investment systems, and ensure stakeholder needs are met while participating in Agile practices.

The role focuses on leading enterprise data platform operations, managing both technical and strategic aspects, ensuring alignment with business goals through effective resource planning and governance.

As a Senior Software Engineer, you will develop and optimize data pipelines, collaborate on ML projects, and manage data sources to enhance scientific research.

The Staff Data Scientist will use economics and data science to drive business decisions, analyze usage patterns, and collaborate with teams for product improvement.

Lead innovative technology solutions integrating AI, machine learning, and data governance into audit processes while mentoring teams and driving strategic initiatives.

As a Senior Data Scientist/Machine Learning Engineer, you'll lead efforts in improving product listing quality using ML/AI techniques, addressing challenges in text and image quality, and collaborating across teams to enhance brand-retailer experiences.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.

The Data Associate manages data integrity and quality, performs data validation, and prepares reports for clients in the infrastructure sector. Responsibilities include data extraction, organization, and collaborating with product and customer success teams.

The Senior Big Data Engineer leads the analysis and programming activities for application systems, collaborates with management teams, and develops scalable ETL/ELT pipelines while providing expertise and guidance to developers.

Lead application systems analysis and programming activities, manage data processing systems, and mentor mid-level developers in Big Data Engineering.

The Data Analyst will enhance digital experiences through data analysis, implementing personalization strategies, and monitoring performance indicators.

The Senior Data Engineer will develop data pipelines and processes in Azure, lead agile development, mentor teams, and ensure alignment with enterprise standards. Responsibilities include data warehouse design and leveraging BI tools for data visualization.

The Senior Data Operations Analyst will manage Azure cloud infrastructure for data lakes, optimize operations, automate processes, and enhance data accessibility.

The Data Engineer designs, builds, and maintains scalable data systems while ensuring data quality and facilitating integration from various sources.

The Senior Analyst develops and implements models and analytics for financial risk management, leveraging statistical and machine learning techniques to provide actionable insights and improve decision-making processes.