Senior Data Scientist

We're redefining how cities move by connecting millions of riders and drivers every day, delivering safe, reliable, and efficient transport solutions.

Requirements

• Lead the formulation and analysis of complex, real-world decision problems using data, statistics, and machine learning.
• Design, develop, and validate statistical and machine-learning models to support large-scale decision-making and policy design.
• Formulate real-world problems using probabilistic modeling, optimization, and causal inference.
• Partner with product, pricing, operations, and business teams to translate strategic questions into clear analytical and modeling frameworks.
• Design and analyze experiments (A/B tests, quasi-experiments, uplift and response modeling) to measure the impact of decisions and policy changes.
• Develop interpretable models and analytical insights that explain mechanisms and trade-offs.
• Collaborate with data and ML engineers to ensure models are production-ready.
• Act as a subject-matter expert in statistics and machine learning, reviewing analytical approaches and challenging weak or unjustified assumptions.
• Define and monitor metrics that reflect system health, user experience, and long-term marketplace stability.
• Communicate results and recommendations through clear, structured narratives suitable for non-technical stakeholders.
• Mentor junior data scientists on statistical reasoning, modeling discipline, and experimental design.