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Data Scientist

Toronto, ON (Canada)

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.Learn more at tradercorporation.com
 
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 groupEurope’s largest online car marketplacewe’re shaping the future of automotive retail in Canada and beyond.
 

As Data Scientist, you will be part of our global Data Science team and build AI and machine learning solutions that impact millions of users worldwide. You will work closely with product, engineering, and business teams to turn data into scalable ML products that drive real business value. You will own models end to end, from idea to production, with a strong focus on implementation and impact.  

WHAT YOU’LL DO 

  • Design, build, and deploy predictive and generative AI systems that power marketplace and fintech use cases 
  • Own AI and ML use cases end-to-end — from problem framing and modeling to deployment, monitoring, and iteration 
  • Integrate ML and GenAI components into scalable product systems 
  • Translate product and business goals into robust, data-driven solutions 
  • Monitor model performance in production and continuously improve reliability and impact 
  • Collaborate closely with Product and Engineering to ship measurable AI-enabled features 

YOU COME WITH 

  • Degree in Computer Science, Engineering, Mathematics, or equivalent practical experience 
  • 3–5+ years of experience building and deploying ML systems in production 
  • Strong hands-on skills in Python, SQL, and modern ML frameworks 
  • Experience deploying models via APIs and working with AWS or comparable cloud infrastructure 
  • Solid understanding of ML methods, evaluation, monitoring, and MLOps practices 
  • Experience integrating ML or GenAI components into real-world software systems 
  • Ability to communicate complex concepts clearly to technical and non-technical stakeholders 
  • Curiosity, ownership mindset, and drive to continuously improve systems and products 

WHAT WE OFFER: 

We understand that there is life at work and life outside of work. Here are a few benefits that support us to be our creative best.   

  • Gym discounts 
  • Employee and Family Assistance program 
  • Virtual wellness events 
  • Conferences & training budget 
  • Regular internal training programs 
  • Financial planning with 3% matching Pension  
  • Competitive salary 
  • Annual bonus structure 

The base salary range for this position is CAD 90K – CAD 140K

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings. 

 

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy. 

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

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