Teams at Shipt

Build and re-architect Shipt's LLM-native search stack including retrieval and ranking systems. Design multi-task and multi-objective models, integrate personalization signals, develop hybrid dense/sparse retrieval, and apply generative retrieval and query expansion. Analyze search data, report findings to leadership, and partner with senior scientists and ML engineers to improve relevance, revenue trade-offs, and operational metrics.

Lead a 7–10 person data science team for Marketplace Product, define analytics vision, build agentic AI and GenAI workflows, drive consumer analytics, experimentation and causal analysis, partner with senior leaders to translate insights into product improvements and operational efficiencies.

Build and deploy geospatial ML models using large-scale GPS, mapping, and routing data to improve final-mile logistics. Collaborate with product, operations, and engineering to design experiments, translate spatial insights into operational decisions, and productionize models and data systems.