Dealertrack Canada, provides web-based software solutions, integrated dealership technologies and digital solutions for automotive retail. We serve dealers, lenders, OEMs, third-party retailers, agents and aftermarket providers with its comprehensive set of solutions including Sales/F&I products; market data for dealers, lenders and OEMs; and digital document services. We provide one of the largest online credit applications in Canada through our unique ability to combine dealer perspectives, technology-fueled innovations and consumer insights. Our products empower dealerships to make better choices about how to run their businesses and promote better customer vision, giving dealerships a cross-product view of each customer.
On-site · Toronto
Partner with cross-functional teams to define KPIs and drive seller product performance through data analysis. Build trusted data models, ELT pipelines, and AI-assisted analytics solutions to provide actionable business insights.
On-site · Toronto
You will own the end-to-end lifecycle of ML and GenAI systems, including design, deployment, and continuous improvement in a production environment. Additionally, you will partner with cross-functional teams to solve complex business problems and mentor junior data scientists.
On-site · Toronto
Design and implement scalable backend and frontend services to modernize the CMS Registry platform. Lead technical execution for containerization, runtime upgrades, and the improvement of CI/CD pipelines and operational reliability.
On-site · Toronto
Develop and modernize software for automotive financing portals, focusing on credit application processing and lender workflows. Ensure system reliability through clean code, automated testing, and active monitoring of production services.
On-site · Toronto
Maintain the reliability and operational health of CMS services through incident response, production troubleshooting, and runbook maintenance. Collaborate with cross-functional teams to ensure service availability and support the migration to containerized deployments.
On-site · Toronto
Lead the modernization of the platform to improve fraud detection and risk assessment through scalable architecture. Own the full software lifecycle from design to production while mentoring other engineers and reducing technical debt.
On-site · Toronto
Rethink and rebuild the auto repossession and remarketing platform using modern architectural principles and AI-driven components. Own the full software lifecycle from design to production while mentoring other engineers and reducing technical debt.
On-site · Toronto
Lead the design and implementation of scalable backend services and user-facing features using a polyglot stack. Drive engineering excellence by integrating AI tools into the development workflow and mentoring team members on their usage.
On-site · Toronto
As a Principal Data Scientist, you will lead AI initiatives and collaborate with cross-functional teams to design and scale AI solutions. You will also provide technical leadership and mentorship to data scientists while shaping the strategic direction of Data Science in the organization.