Top Data Jobs in Toronto

The Software Engineer, Data Pipelines will build and maintain data pipeline systems, automating infrastructure tasks and improving platform reliability and performance.

The role involves leading a Product Management team during maternity leave, ensuring delivery excellence and hands-on contribution to client engagements, with a focus on coaching, risk management, and client relations.

As a Senior Data Scientist, you'll integrate Vision Language Models into analytics systems, optimize performance, and collaborate across teams to develop computer vision features.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The HR Operations Manager oversees HR systems, employee lifecycle operations, and data integrity, ensuring compliance and efficient processes using HRIS, specifically UKG. Responsibilities include managing HR data, optimizing processes, collaborating on system enhancements and reporting, while leading audits and ensuring operational compliance.

Lead the design and optimization of Mistplay's rewards economy utilizing machine learning. Collaborate to develop predictive models and improve user engagement.

The Senior Specialist, Risk & Data ensures data integrity for hedge fund holdings, coordinates issue resolution, and drives analytics and process improvements for institutional clients.

The Analyst will conduct in-depth data analytics, work on financial modeling, and prepare client reporting using various data visualization tools, while collaborating with senior consultants and managing client relationships.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

The Lead Data Scientist will design and implement data-driven solutions, lead a team of data scientists, and collaborate across functions, while managing machine learning pipelines and mentoring junior staff.

This internship involves supporting demand generation through campaign execution, using AI and analytics to derive insights, and optimizing workflows for marketing processes.

As a Senior Data Scientist, you will design and build AI and machine learning models, collaborate with teams, and drive analytics strategy for business value.

As a Data Analytics Consultant, you'll focus on ensuring accurate data for customer implementations, support integrations, automate processes, and improve workflows.

The Senior Accountant will handle monthly accounting close activities, prepare journal entries and reconciliations, execute SOX controls, and collaborate with auditors.

Lead the analytical data science function, guiding programming strategy, overseeing technical execution, and ensuring regulatory compliance across clinical programs while developing talent.

As a Technical Product Owner, manage the development of Citco's data platform, collaborate with teams, prioritize enhancements, and oversee product growth and client needs.

Lead and manage the data engineering team and architecture platform for Horizon3 Labs, ensuring compliance, integration, and the successful delivery of data projects.

The role involves leading evaluations of utility energy programs, developing methodologies, driving business development, mentoring teams, and engaging clients effectively.

The Senior Data Engineer will build and maintain the data platform, develop data pipelines, improve observability, and collaborate with teams in a cloud-based data environment.

The Data Scientist III will provide analytical expertise, insights, and guidance to Marketing and multi-functional teams, enhancing decision-making and performance through data interpretation and visualizations.

As a Software Data Engineer, you will develop data pipelines, collaborate with teams, and build maintainable code to support scientific research. You'll utilize LLMs and cloud technologies to enhance data processes.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Data Analyst will analyze datasets, create visualizations, generate reports, and collaborate with teams to provide actionable insights using Power BI and SQL.

Design and implement scalable data architectures, establish data governance, oversee ETL processes and collaborate with teams to enhance data infrastructure.