Data Scientist
Company: AutoTrader.ca
Location: Toronto, Ontario
Type: Full-time
Level: mid
Posted: 2026-02-09
About this role
We are TRADER, 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. Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing, and sales. Dealertrack Canada is the country’s top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management (CMS) is a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian Lenders.
As part of
AutoScout24
group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.
Learn more at tradercorporation.com.
Join our global Data Science team and contribute to shaping the future of the automotive marketplace through AI and machine learning. As a Data Scientist, you'll work on impactful AI initiatives that influence millions of users worldwide, with a focus on implementation and innovation.
In this role, you'll collaborate with product, engineering, and business teams to build and improve AI solutions that set us apart in the industry. You'll apply your technical expertise and analytical mindset to develop ML products that solve real-world problems and deliver business value.
Our ideal candidate is a motivated data scientist 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).
What You’ll Do
- Design and implement predictive and generative AI models that power personalization, pricing, search, and op...