Top Tech Jobs & Startup Jobs in Toronto

The Big Data Engineer will design and maintain data pipelines using PySpark on Databricks, optimize performance, ensure data quality, and collaborate with data scientists.

The Senior Data Scientist provides analytical support for campaign execution, utilizing data insights and machine learning techniques to solve business problems, establish predictive models, and lead data-driven solutions.

The role focuses on developing and implementing the employer brand strategy, enhancing inclusion and belonging narratives, and driving recruitment marketing campaigns at Canadian Tire Corporation.

The Senior Enterprise Architect will develop technology architectures, collaborate with leaders, optimize technology portfolios, and ensure architectural standards.

The Analyst supports Regional Pricing by developing user stories, collaborating with teams, conducting data analysis, and ensuring pricing accuracy. Responsibilities include market analysis and business testing.

The Data Scientist will develop analytical frameworks, perform statistical modeling and insights generation to optimize customer engagement and loyalty programs.

As a Data Scientist, you'll develop machine learning models, analyze data, build prototypes, and work on integrating models into production. Collaboration with engineering teams and effective communication of insights to stakeholders are key responsibilities.

As a Data Engineer, you will manage ML models in production, develop ETL pipelines, collaborate with data scientists, and ensure robust data stability.

The Director will lead the Operational Resilience and Third-Party Risk Management programs, ensuring compliance and enhancement through strategic risk management, stakeholder collaboration, and effective communication.

The Analyst, Workday Operations will manage HR operations processes in Workday, ensuring data integrity, supporting transactions, and conducting audits.