Senior Manager, Data Science & Operation Analytics

Lead strategic analytics across marketplace performance, customer behavior, sourcing operations, pricing, and business trends. Develop analytical frameworks and AI agents that measure marketplace health across customer acquisition, conversion, supplier engagement, operational efficiency, pricing competitiveness, and margin performance. Translate complex business problems into structured analytical approaches that drive actionable recommendations and deliver executive-ready insights influencing product roadmaps and investment decisions. Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design while partnering with Product and Engineering teams to design and interpret A/B tests. Apply advanced statistical techniques to identify drivers of customer behavior and operational bottlenecks, then develop measurement methodologies that quantify the business impact of new features and sourcing initiatives. Define reusable analytical datasets, KPI frameworks, and semantic layers to enable consistent reporting, and partner with Data Engineering to improve data quality and instrumentation. Lead forecasting and trend analysis for marketplace demand and supplier capacity, analyze operational performance to identify root causes, and build tools enabling proactive decision making across Operations, Pricing, and Sourcing teams. Mentor a high-performing team of data scientists, foster a culture of analytical excellence, and standardize business definitions to ensure alignment on key performance indicators.