Top Tech Jobs & Startup Jobs in Toronto

As a Senior Data Scientist, you will develop machine learning models for logistics, credit assessment, retailer growth, and optimize marketing efforts to enhance customer acquisition and engagement.

The role involves developing capabilities for data analytics, improving data models, and mentoring teams while ensuring data quality and integrity.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

The Senior Full Stack Engineer will drive product improvements, lead technical projects, develop backend solutions, optimize performance, and mentor other developers while collaborating with cross-functional teams.

The Senior Growth Engineer will lead growth experiments, develop customer-facing features, and design scalable APIs while collaborating with cross-functional teams to drive business impact.

The Senior Growth Platform Engineer will design and build scalable backend systems, APIs, and growth infrastructure to enhance experimentation and targeting capabilities for retailers.

Build and maintain the Kotlin backend: deliver core features, design and build APIs for web and mobile, write integration tests, share product ownership, and help improve customer experience.

Lead a cross-functional team in engineering practices, customer experience engineering, and the adoption of AI tools to enhance system quality. Directly manage team strategy, planning, and implementation while championing customer needs and operational efficiency.

The role involves leading data engineering projects, building scalable data models, optimizing workflows, and ensuring data quality while collaborating with cross-functional teams.