Top Data Jobs in Toronto

The Senior Data Engineer designs, builds, and supports data integration systems for BI reporting using Python and AWS Glue, mentoring others and ensuring quality standards.

As a Full Stack Data Scientist, you will design and develop innovative data solutions, collaborate with stakeholders, and manage analytics projects for Corporate Audit.

The IT Director leads the Data Management & Analytics team, focusing on staffing, delivering data capabilities, and driving analytics excellence across the organization.

Lead the Data Science team and manage analytics partnerships. Responsibilities include data modeling, machine learning, and ensuring data quality for decision-making.

The Lead Business Consultant will oversee implementation projects for SimCorp One®, focusing on Data Management and Integration, while mentoring team members and ensuring client satisfaction.

The Consultant in Data and Reporting is responsible for advanced analytics, delivering insights, and strategic reporting to assist management in decision-making.

Lead and manage a team of data engineers to develop high-performance, fault-tolerant data products while driving innovation and optimizing system performance.

The Senior Consultant will oversee risk management data governance, improve data quality, manage projects, support regulatory reviews, and foster relationships across the business.

The Data Scientist will optimize growth marketing strategies using data-driven insights, analyzing campaigns and performance, and developing data models.

The Managing Director will lead the Commercial Bank's data strategy, focusing on data quality, governance, and warehouse management, while managing a high-performing team.

The Senior Data Scientist will develop data science and machine learning solutions using Google Cloud Platform, focusing on recommendation systems, NLP/LLM capabilities, collaborating with engineering teams, and improving consumer services.

Lead the Data Platform Team, enhancing data ingestion and management for ML environments. Collaborate with product teams and mentor engineers to foster innovation and excellence.

As an AI Data Annotator, you will perform rating and annotation tasks to support AI development, ensuring high accuracy and meeting deadlines.

The Senior Data Scientist role involves leading data analysis, developing machine learning models, optimizing data pipelines, and communicating insights to stakeholders to drive business growth.

The Data Acquisition Manager will manage vendor relationships, conduct market research, oversee data sourcing processes, and ensure compliance, while providing strategic advice on data strategies.

The Data Science Lead develops and validates statistical models to measure marketing effectiveness and communicates insights to clients, utilizing advanced analytical techniques and collaboration.

Lead Data Engineers in designing and managing scalable data architectures, implementing BI solutions, and maintaining cloud infrastructure while guiding team members in data-driven approaches.