Senior Data Scientist, Rides Safety

• Identify, research, and prioritise hypotheses to improve automated and predictive safety algorithms (e.g., risk scoring, verification, and progressive interruption systems)
• Develop, deploy, and monitor automated safety systems, ranging from classical supervised learning to real-time risk models and advanced control system designs
• Design and run large-scale experiments to validate safety approaches and estimate their impact on core safety metrics (e.g., incident rates, verification success, and driver/rider experience)
• Lead the data science and ML-first approach to safety and risk management in the company
• Partner with analysts, engineers, product managers, and operations specialists to identify safety problems and develop the most efficient, data-informed solutions

• Strong ownership mindset and comfort working autonomously from problem research to model deployment
• 3+ years of experience in machine learning for automated decision making
• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Mastery in Python and SQL
• Skilled at communication with cross-functional stakeholders

relocation and visa support