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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The company's core product is the Market Model—a proprietary AI-powered system delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture using market data with full transparency, it has been deployed in global aviation and scales across volatile markets, delivering an average profit uplift of 7% for corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.
The Large Market Modeling (LMM) team is the engine powering Fetcherr's pricing intelligence. This team builds and trains the models that transform chaotic market signals, customer behavior, and competitive dynamics into reliable, production-ready demand models. While other teams at Fetcherr work with the models, the LMM team brings them to life—teaching Fetcherr's AI how people buy so it can recommend the right price at the right moment.
You will develop and implement state-of-the-art econometric and machine learning models for demand forecasting. Key responsibilities include conducting research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability. You'll collaborate with cross-functional teams including product, data engineering, MLOps, and platform to deploy ML systems in production. Clear communication of complex technical findings to non-technical stakeholders, including product leaders and executives, is essential.
This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact in a fast-growing, venture-backed company.
