Data Scientist

We are a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. 

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you’ll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both strategic vision and hands-on innovation.    In this role, you’ll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You’ll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value.    Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and committed to continuous learning, especially in emerging areas like Generative AI and Large Language Models (LLMs).    You should be comfortable engaging with all levels of the organization, from peers to executives, and possess the ability to distill complex information into clear, actionable strategies that drive business decisions and create value.      What You’ll Do:  

• Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team’s evolving role in a rapidly advancing GenAI landscape.
• Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains.
• Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling.
• Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets.
• Ensure long-term performance and compliance of production AI models though robust governance and monitoring.