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Fetcherr is an AI company that builds responsible, market-focused AI solutions for commercial teams. The company's core product is the Market Model, a proprietary AI system delivering demand predictions with 96% forecast accuracy and real-time decision intelligence. Built on a glass-box architecture using market data with full transparency, the technology is deployed across volatile markets including global aviation, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The company delivers an average profit uplift of 7% for its customers.
We are seeking a Data Scientist to strengthen our advanced analytics team. You will design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models. Your responsibilities include leading data discovery efforts to translate complex multidimensional data into actionable insights related to pricing algorithms and their outcomes. You will conduct research and experimentation to develop novel approaches to uplift measurement and A/B testing methodologies.
You will collaborate closely with revenue managers, data analysts, and data engineers to encode airline business logic into modeling and technical pipelines. The ideal candidate is self-driven, motivated, independent, and sharp—someone with relevant data science experience who can operate with autonomy while contributing to a team environment. This role offers the opportunity to work on high-impact problems in a fast-growing company at the intersection of AI, pricing optimization, and commercial aviation.