Teams at Qogita

Own a product surface end to end, including strategy, specifications, prioritization, delivery, and measurable outcomes. Analyze commercial and operational data, challenge inefficient processes, and work directly with engineering, design, data science, operations, and commercial teams. The role focuses on wholesale procurement, pricing intelligence, catalogue trust, or buyer economics, with emphasis on automation, AI agents, marketplace dynamics, and financially measurable results.

Own end-to-end data science initiatives for a wholesale marketplace, including predictive modeling, ranking, demand forecasting, pricing, experimentation, segmentation, matching, and LLM-powered features. Translate ambiguous commercial problems into measurable ML and statistical solutions, deploy and monitor production models, conduct A/B tests, and collaborate with Product, Engineering, Finance, and Commercial teams.