Top Data Jobs in Toronto

As an Engineering Manager at Hive, you will manage data engineering teams, drive initiatives, coach employees, recruit engineers, and improve team productivity.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Senior Data Scientist at Lyft, you will analyze data to inform business decisions, design experiments, and collaborate with cross-functional teams to enhance the rider app and overall user experience.

The Senior Data Scientist will leverage data to shape business decisions at Lyft, collaborating with various stakeholders to monitor performance and drive growth.

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

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.

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.

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.

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 Global Data Manager oversees data governance, quality, and conversion processes, ensuring the integrity and accessibility of data assets while leading the future data management team.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

As the first Data Analyst, you'll build data infrastructure, analyze product performance, create reports, and collaborate across teams to drive data-driven decisions.

As a Data Analyst, you'll analyze complex production and payroll data to produce actionable insights, work cross-functionally, define metrics, and improve data processes.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Lead strategy and execution of Marketing Automation initiatives, partnering with teams to unify customer data and enhance engagement through data-driven insights.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

As a Data Engineer, you will own and deliver data engineering projects, ensure code quality, and collaborate with cross-functional teams to meet data needs.

The position involves leading data governance and analytics for the Quality organization, ensuring compliance and operational excellence while managing IT platforms and driving digital transformation.

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 Engineer, you will build and maintain data pipelines, collaborate with teams on best practices, and implement data ingestion techniques using AWS technologies.

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

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.