Top Data & Analytics Jobs

In this role, you will develop an AI/ML strategy to enhance customer support, lead the machine learning development of a natural language understanding system, and collaborate with teams on cross-organizational solutions while mentoring engineers.

In this Staff Data Scientist role, you'll lead the development of capabilities supporting Canva's growth by collaborating across teams and integrating AI-driven solutions. Your responsibilities include technical leadership, new capability design, proactive problem-solving, and stakeholder partnership to enhance data infrastructure and drive innovation.

The Senior Machine Learning Engineer will research, develop, and deploy AI solutions for automating content review at Canva. Responsibilities include collaborating with stakeholders, delivering large projects, fostering a collaborative team culture, and staying updated with industry trends.

In this role, you will lead the development of AI and ML strategies to enhance customer support at Canva, design and deploy natural language processing systems, and collaborate with various teams to improve user experience through machine learning applications.

In this role, you will partner with leadership to develop the AI/ML strategy at Canva. You will lead the development of natural language processing systems, collaborate with other MLEs, and work on enhancing customer support through ML strategies and solutions.

In this role, you'll develop an AI/ML strategy to enhance customer support, lead natural language processing system development, and collaborate on machine learning projects to improve user experience for Canva's platform.

The Data Lead - Print at Canva will guide a group of data scientists and analytics engineers in leveraging data strategies for business decisions. Responsibilities include driving data insights, project management, mentorship, and aligning with stakeholders to enhance the Print business. The role requires strong communication skills and strategic thinking to tackle data challenges and optimize performance.