Data Scientist

• Lead the architectural direction for candidate retrieval, multi-objective ranking, and learning-to-rank models
• Advance personalization engines using merchant history, niche trends, and sales performance signals
• Connect merchant sales and conversion data to upstream design generation and candidate-ranking models
• Oversee image-generation pipelines combining multimodal models with deep-learning architectures
• Develop computer-vision capabilities for delayering, background separation, print-area quality analysis, and asset validation
• Own end-to-end product innovation from model selection and fine-tuning through serving pipelines and frontend workflows
• Prototype, iterate, and ship agentic pipelines and ML features using AI-assisted development tools
• Define online/offline evaluation frameworks and oversee continuous A/B testing
• Guide make-vs-buy, API-versus-self-hosted, fine-tuning, and inference-optimization decisions
• Set applied-ML standards, mentor senior individual contributors, run design reviews, and promote measurable business impact

Explore Staff Data Scientist at FYUL. Review requirements and application details.