Data Scientist

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.

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
  
  

• 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 (ability to present to C level stakeholders executives as well)
• You are experienced in translating complex client requirements into actionable insights, and ability to present findings and strategies to stakeholders
• 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
• B.SC or Master’s degree in Economy / Statistics / Math or similar (Phd is a plus)
  
  

• 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