The Senior Data Scientist will design and maintain pricing models specifically for airline dynamic pricing and revenue optimization use cases
Job Summary
The Senior Data Scientist will design and maintain pricing models specifically for airline dynamic pricing and revenue optimization use cases.
This role requires direct ownership of model behavior across UAT, go-live, and production phases with rapid diagnosis capabilities.
Candidates must possess strong communication skills to translate complex experimental results into clear recommendations for non-technical airline stakeholders.
Matching Summary
The Senior Data Scientist will design and maintain pricing models specifically for airline dynamic pricing and revenue optimization use cases.
Skills & Requirements
Must-have
Pricing model development and validation
Demand elasticity analysis and optimization
A/B testing and experimental design
Real-time and batch decisioning features
Client-facing stakeholder engagement
Nice-to-have
Airline dynamic pricing domain experience
Model explainability and governance knowledge
MLOps practices and lifecycle management
Causal inference methods exposure
Large-scale experimentation platforms
Key Requirements
Background in pricing or revenue management
Solid grounding in statistics and machine learning