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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 across global aviation with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul, delivering an average profit uplift of 7%.
The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. This team builds and trains the models that transform market signals, customer behavior, and competitive dynamics into reliable, production-ready demand models. As a Data Scientist on this team, you will be at the core of developing the AI that powers Fetcherr's recommendations.
Key responsibilities include:
- Develop and implement state-of-the-art econometric and machine learning models for demand forecasting
- Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability
- Collaborate with cross-functional teams (product, data engineering, MLOps, and platform) to deploy ML systems in production
- Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives
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.
