Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.
We're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp
Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modelling and technical pipelines
Great if you have them:
Founded in 2019, Fetcherr is at the forefront of AI-driven solutions for the airline industry. Specializing in dynamic pricing and market forecasting, Fetcherr’s core product, the Generative Pricing Engine (GPE), leverages the Large Market Model (LMM) to optimize revenue and operational efficiency. The LMM simulates market dynamics, allowing the GPE to adjust and react in real-time to each part of the operational pipeline, from pricing to inventory management.
Partnered with industry giants like Delta Airlines, Virgin Atlantic, WestJet, Azul and Viva Aerobus, Fetcherr’s technology empowers airlines to make real-time, data-driven decisions, ensuring a competitive edge and sustainable growth.
Fetcherr’s AI-driven approach has demonstrated significant revenue generation uplift, transforming traditional revenue management processes and enhancing overall airline profitability.
