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.

Key Responsibilities:

• 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 modeling 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