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

Requirements:

• You have at least 5 years of hands-on data analytics & science experience with proven record of leveraging modeling into business insights
• You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels)
• You know to assess the performance and impact of the ML-powered system from business environments perspective
• You have great communication and storytelling skills to both technical and non-technical audiences

Great if you have them:

• Domain knowledge in following industries: airlines, transportation, logistics or vacations
• Experience with causal inference, uplift modeling, anomaly detection or pricing algorithms
• Knowledge in mathematical optimization