Principal Data Science Engineer
Core
Build agentic AI/ML solutions for airline retailing, dynamic pricing, and offer management to optimize revenue and customer experience.
Role type
Principal Data Science Engineer (AI/ML)
Builds
Production ML models, APIs, and data processing pipelines for airline distribution and pricing systems.
Domain
Travel technology / Airline industry / Machine Learning
Deliverable
production ML models
Required skills
Statistical analysis, Machine learning algorithms, Data modeling, Cloud MLOps, GCP ecosystem (Vertex AI, BigQuery, GKE, Dataflow), Terraform, Containerization, Data mining, Predictive analytics
Preferred skills
Airline/hospitality domain knowledge, Customer choice modeling, Price elasticity estimation, Revenue management concepts, NDC/Offer/Order Management
Technologies
Python, R, SQL, TensorFlow, PySpark, Java, JavaScript, C++, GCP, Kubernetes, Terraform, BigQuery, Vertex AI, Dataflow, Dataproc
Responsibilities
Identify opportunities to leverage data for customer behavior prediction; Assess effectiveness of new data sources and forecasting techniques; Develop custom data models and proof of concept studies; Collaborate with engineers to implement production-quality AI/ML code; Monitor and analyze data accuracy and model performance; Calibrate software for customer needs and train users; Resolve customer complaints and implement enhancements.
Seniority
Principal, hands-on IC with strategy & mentorship