Data Scientist - Deep Learning Forecasting (Demand Estimation Team)

Data Scientist - Deep Learning Based Demand Forecasting Fetcherr experts in deep learning, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions. We are seeking a Data Scientist - Deep Learning Forecasting (Demand Estimation Team) who will be responsible for developing and implementing deep learning-based forecasting models using large datasets, collaborating with cross-functional teams to integrate these models into existing systems, and providing data-driven insights to drive business decisions. The ideal candidate should have experience in deep learning, machine learning, and data analysis, as well as proficiency in programming languages such as Python or R, and familiarity with popular deep learning frameworks like TensorFlow or PyTorch. Additionally, the ability to work effectively in a fast-paced environment, communicate complex technical concepts to non-technical stakeholders, and maintain high levels of accuracy and attention to detail are essential.