Senior Data Scientist - Toronto (m/f/d)

AutoTrader.ca; Toronto; On-site; CAD 180,000 - 210,000; Full time

Benefits offered by this job

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

Job summary

AutoTrader.ca is seeking a Senior Data Scientist to be a key contributor in shaping AI and machine learning systems for their platforms. The role requires expertise in building and operating ML systems end-to-end within AWS environments. Candidates should possess a strong background in Python and substantial experience in production ML.

The position is based in Toronto and offers a competitive salary package, gym discounts, and opportunities for training and development.

Qualifications

• 5+ years of experience building and owning production ML systems end-to-end.
• Strong hands-on expertise in Python and modern ML frameworks.
• Solid experience with AWS and MLOps practices.

Responsibilities

• Own ML and GenAI systems end-to-end in production.
• Make sound architectural decisions for ML systems.
• Partner with Product, Engineering, and Business leaders.

Skills

Python

Machine Learning frameworks

AWS

GenAI / LLMs

MLOps practices

Education

Advanced degree in Computer Science, Engineering, Mathematics

Job description

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 a 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

• 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 – $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.

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.