We areย TRADER, a Canadian leader in digital automotive solutions. Our flagship brands -ย AutoTrader.ca,ย AutoSync,ย Dealertrack Canada and CMSย - help Canadians buy, sell, and finance vehicles with confidence.ย
Learn more atย tradercorporation.com.ย
Asย partย ofย AutoScout24ย group,ย Europe'sย largestย onlineย carย marketplace,ย we'reย shapingย theย futureย ofย automotiveย retailย in Canada andย beyond.ย
Asย Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.ย
You design, build, andย operateย machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Toronto.ย
Whatย you'llย doย
- Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvementย
- Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainabilityย
- Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomesย
- Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraintsย
- Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systemsย
Whatย you'llย need ย
- Advanced degree in Computer Science, Engineering, Mathematics, or a comparable fieldย
- 5+ years of experience building and owning production ML systems end-to-end in a real-world environmentย
- Strong hands-onย expertiseย in Python and modern ML frameworks, with the ability to ship,ย operate, and evolve ML systems in productionย
- Solid experience with AWS andย MLOpsย practices, including deployment, monitoring, and operating ML systems at scaleย
- Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitationsย
- Ability to influence technical decisions through clear judgment and collaboration, not formal authorityย
- Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedbackย
- Strong senseย of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and deliveryย
What's in it for youย
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. ย ย
- Gym discountsย
- Employee and Family Assistance programย
- Virtual wellness eventsย
- Conferences & training budgetย
- Regular internal training programsย
- Financial planning with 3% matching Pension ย
- Competitive salaryย
- Annual bonus structureย
Theย base salary rangeย for this position isย CAD $180k - $210k.
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.ย
Useย ofย Artificialย Intelligenceย inย Hiring:ย Weย useย artificialย intelligenceย ("AI") inย ourย hiringย process,ย includingย toย screen,ย assess,ย orย selectย applicantsย forย thisย position.
Vacancy Status: This job posting is for an existing vacancy.ย