Data Scientist - Deep Learning Forecasting

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're looking for a Data Scientist with a strong focus on Deep Learning based solutions to help us grow our advanced analytics team's capabilities and develop advanced demand forecasting tools. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp.

You’ll be a great fit if…

• You have at least 5 years of hands-on data science experience with proven record of leveraging modeling into business outcome
• You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels)
• You have an experience with causal inference, uplift modeling, anomaly detection or pricing algorithms
• You have experience in Python and Machine Learning, with a focus on Deep Learning (ANN), in time series, forecasting, demand forecasting, revenue management;
• You have great communication and storytelling skills to transform complex data sources into meaningful insights for non-technical audiences
• You are able to provide and recommend innovative solutions and approaches to non-trivial challenges
• You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines
• You know to assess the performance of the ML-powered system from business environments perspective
• You are good at turning ambiguous problems into clearly defined sequence of steps
• You are proficient in using SQL (BigQuery / GCP experience is a plus) and git
• Have a readiness and willingness to continuously learn while working
• B.SC or Master’s degree in Economy / Statistics / Computer Science / Engineering / Relevant Field

Great if you have them:

• A big plus is experience in the aviation industry
• Knowledge in mathematical optimization