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.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from 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 

For a career where you can drive our business and shape your future, apply now. 

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. 

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

As 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. 

You design, build, and operate 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. 

What you’ll do 

• Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement 

• Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability 

• Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes 

• Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints 

• Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems 

What you’ll need  

• Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field 

• 5+ years of experience building and owning production ML systems end-to-end in a real-world environment 

• Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production 

• Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale 

• Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations 

• Ability to influence technical decisions through clear judgment and collaboration, not formal authority 

• Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback 

• Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery 

What’s in it for you 

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 $180k – $120k.

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. 

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 anational tech solution that boosts lien and registration services,recovery services, and insolvency management solutions for Canadian Lenders. 

Learn more at tradercorporation.com. 

ABOUT THE ROLE 

 
As a Senior Analytics Engineer, you will own and shape the analytical data architecture and modelling that powers enterprise reporting, self-service analytics, and AI-driven insights. You will define modeling standards, semantic layers, and data foundations across the organisation and act as a technical leader for reporting, analytics and AI use cases. You will work closely with data platform, data governance, and analytics teams across a modern cloud data stack. This position is permanent and based in Toronto, Canada. 

WHAT YOU’LL DO 

• define and evolve enterprise analytical data models and architecture using AWS technology  

• build and own semantic layers to align KPIs and business logic 

• lead AI-driven analytics use cases such as text-to-SQL and conversational BI 

• Set modeling standards, documentation, and best practices across teams 

• Collaborate with data platform engineering , data governance and the business stakeholders on scalable pipelines 

• Contribute to data modeling best practices  

YOU COME WITH 

• 7+ years in analytics engineering or data engineering roles 

• Advanced SQL skills and strong experience with data modeling 

• Strong experience with AWS, Glue, Athena, S3, and cloud analytics 

• Knowledge of orchestration tools (Airflow, Prefect, Dagster) 

• strong Python and PySpark skills for large-scale data processing 

• experience with AI-driven analytics and semantic modeling 

WHY TRADER 

We support your growth, well-being, and long-term success. Our benefits are designed to help you perform at your best - both at work and in your personal life. Benefits from Day One:  

• Gym membership discounts 

• Employee and Family Assistance Program 

• Virtual wellness sessions 

• Budget for conferences and external training 

• Regular internal learning programs 

• Financial Well-Being 

• 3% employer pension matching 

• Comprehensive income-protection options 

• Compensation 

• Competitive base salary 

• Annual performance bonus 
• 3% CPP matching 

The base salary range for this position is CAD $90k- $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.

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