Job Description As a Decision Scientist, you will be the expert on cause and effect within our logistics network. Your primary responsibility will be to answer the most critical strategic questions facing our business: "What should we do, and why?" Go Beyond Correlation: You will establish causality in a complex, real-time environment, providing the business with a clear and defensible understanding of how our actions impact outcomes. Drive Experimentation: You will design, launch, and analyze complex experiments (A/B/n tests) to measure the precise impact of changes to our dispatching algorithms, rider incentives, and customer promises. Quantify Trade-offs: You will build economic and simulation models to quantify the intricate trade-offs between customer experience (e.g., delivery speed) and operational efficiency (e.g., cost per order), delivering clear ROI-based recommendations. Employ Advanced Causal Inference: When clean experiments aren't feasible, you will leverage a sophisticated toolkit of econometric and causal inference techniques to measure the impact of product launches and operational changes on our marketplace. Influence High-Level Strategy: You will partner directly with key stakeholders in Product, Engineering, Data (Science) and Operations to translate your findings into high-impact business strategy, fundamentally shaping the future of our dispatching roadmap.