Data Scientist

We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — , Auto Sync, Dealer track Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence.

is Canada’s largest automotive marketplace, with over 25 million monthly visits. Through Auto Sync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing, and sales. Dealer track 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 Auto Scout
24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

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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.

• Design and implement predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains.
• Work with product and business teams to translate strategic goals into data-driven solutions, owning end-to-end model development for specific product features.
• Extract actionable insights from large, complex datasets, presenting findings clearly to both technical and non‑technical audiences.
• Support scalable ML infrastructure using cloud‑native tools (e.g., AWS, EC2) to facilitate efficient model training and deployment.
• Take ownership of model performance metrics, conducting regular evaluations and communicating results to stakeholders.
• Lead technical discussions for your areas of ownership during team reviews, advocating for best practices in code quality and model design.
• Participate in code reviews and technical discussions to improve team best practices and model quality.
• Propose creative approaches to solve complex business problems, balancing technical innovation with practical implementation.
• Contribute to exploration of GenAI applications, helping identify use cases and supporting their integration.

• Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline.
• 3-5 years of experience in data science, machine learning, or applied AI, with experience deploying models to production.
• Strong programming skills in Python and SQL, and familiarity with ML/AI frameworks (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation and selection.
• Hands‑on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow).
• Understanding of MLOps concepts, including model monitoring and versioning.
• Experience with model deployment through APIs (e.g., Flask, FastAPI) in both real‑time and batch‑processing environments.
• Good communication skills, able to explain technical concepts to different audiences.
• Experience working in agile product development environments (Scrum/Kanban).
• Experience with GenAI/LLM technologies, including tools like Hugging Face, Lang Chain, OpenAI APIs, vector databases, and fine‑tuning methods.

• Experience in e‑commerce, marketplaces, or high‑scale consumer platforms.
• Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems.
• Contributions to open‑source AI/ML projects, publications, or presentations at industry conferences.

Experience leveraging AI, Generative AI (GenAI) to enhance engineering…