Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape.
Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains.
Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling.
Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets.
Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
Provide technical leadership and mentorship to data scientists, shaping an innovative team culture and fostering high-performance and continuous learning.
Serve as a cross-functional technical leader, shaping company-wide technical initiatives beyond data science. Partner with engineering, product, and platform teams to influence architecture, innovation agendas, and technical standards across the organization.
Act as a senior technical advisor, leading resolution of complex modeling issues and acting as the escalation point for critical incidents.
Lead the exploration and strategic application of GenAI, identifying high-impact use cases and guiding their integration across products and platforms.
Requirements
Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline
10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production
Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods
Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-critical use cases
Strong hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow)
Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining
Experience deploying and serving models through APIs (e.g., Flask, FastAPI) in both real-time and batch-processing environments
Excellent communication and stakeholder management skills, able to translate complex concepts into actionable insights for non-technical audiences
Demonstrated success mentoring teams, guiding technical strategy, and advocating for best practices in experimentation, reproducibility, and ethical AI
Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus
Bonus Points
Experience in e-commerce, marketplaces, or high-scale consumer platforms
Fa
Benefits
Vision insurancePerformance bonus
Additional Information
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.
Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you'll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both strategic vision and hands-on innovation.
In this role, you'll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value.
Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and committed to continuous learning, especially in emerging areas like Generative AI and Large Language Models (LLMs).
You should be comfortable engaging with all levels of the organization, from peers to executives, and possess the ability to distill complex information into clear, actionable strategies that drive business decisions and create value.
Autotradercanada · Toronto, Canada