• 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. 

• 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 

• 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 

The base salary range for this position is CAD 180K – CAD 220K.

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.