Data Scientist

• Analyze complex business problems related to cost-to-serve optimization, delivery speed, customer and driver experience.
• Conduct scoping, research, and quantitative analysis, including scenario modelling, experimentation, and business case development.
• For candidates with a data-science focus: design and deploy predictive models, ML algorithms, simulations, and AI-enabled tools to optimize driver supply, batching, routing, and catchment strategies.
• For candidates with a strategy focus: drive problem-framing, solution design, and pilot execution, translating data-driven insights into scaled operational initiatives.
• Collaborate with cross-functional partners (Operations, Finance, Tech, Product) to align on priorities and execute initiatives.
• Build and maintain KPI definitions, dashboards, and reporting frameworks to track progress and ensure visibility of outcomes.
• Present clear, data-driven insights and recommendations to leadership, influencing decision-making and guiding trade-offs.
• Contribute to a culture of rigorous problem-solving, innovation, and continuous improvement.

Senior Data Scientist

Clinical Data Science Associate

Manager, Data Science

Senior Data Scientist

Staff Data Scientist