Senior/Lead Data Scientist (Toronto time zone) (#5701) at N-iX

Про вакансію

Senior/Lead Data Scientist (Toronto time zone) (#5701) Europe, LATAM, Ukraine Work type: Office/Remote Technical Level: Leader Job Category: Software Development Project: Top European automotive marketplace About the client Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe. About the role As a Senior Data Scientist, you will be a key contributor within the client's global Data Science organization, shaping the AI and machine learning systems that sit at the core of marketplace platforms across Europe and Canada. You will design, build, and operate machine learning and GenAI systems that run in production and matter to the business — working on complex, ambiguous problems, exercising strong technical judgment, and taking responsibility for outcomes, not just models. While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. Responsibilities: 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. Raise the bar for engineering practices across the Data Science organization a