Airline Analytics Expert
3 days ago
Transforming aviation through the power of data is at the heart of AirAsia's strategy.
Senior Manager Data Scientist PositionWe are looking for a seasoned Senior Manager, Data Scientist to lead our data analytics efforts and drive innovation in aviation.
The ideal candidate will have a deep understanding of aviation analytics, including forecasting, scheduling, optimization, and real-time decision-making.
They will also have experience working with large, complex aviation datasets, including flight schedules, passenger bookings, load factors, weather, fuel consumption, and maintenance records.
The Senior Manager, Data Scientist will play a critical role in leveraging data to optimize airline operations, enhance customer experience, and drive revenue growth.
This role sits within AirAsia Digital's Group Data team, which leads the airline's data transformation, spanning predictive and prescriptive analytics, AI/ML, intelligent scheduling, and operational optimization.
The successful candidate will be responsible for managing four pillars composed of Predictive Modelling, Data Analytics, Data Engineering, and Operational Research teams.
They will also oversee the airline's data lake and analytics infrastructure, ensuring seamless data integration across commercial, operational, and financial functions.
The ideal candidate will have experience in deploying ML models in cloud environments (Google Cloud, AWS, Azure) and working with aviation data sources such as Navitaire, AIMS data sets, Type B and ACARS messaging, and flight tracking.
The Senior Manager, Data Scientist will collaborate with airline operations teams to design and deploy data-driven solutions.
They will also represent AirAsia in strategic data partnerships with Google, AIMS, Airbus, GE, Navitaire, and academia.
- Lead and develop a high-performing team of 40 data scientists, data analysts, and data engineers focused on aviation-specific use cases.
- Manage four pillars composed of Predictive Modelling, Data Analytics, Data Engineering, and Operational Research teams.
- Work with large, complex aviation datasets (e.g., flight schedules, passenger bookings, load factors, weather, fuel consumption, maintenance records) to extract actionable insights.
- Develop predictive models to optimize fleet utilization, demand forecasting, crew scheduling, and revenue management.
- Enhance real-time operational decision-making through AI-driven analytics, including anomaly detection and automated recommendations.
- Collaborate with airline operations teams (Network Planning, Revenue Management, Ground Operations, Engineering & Maintenance) to design and deploy data-driven solutions.
- Build scalable machine learning and optimization pipelines for applications such as predictive maintenance, baggage handling efficiency, and disruption management.
- Work closely with engineering teams to deploy models in a cloud-based production environment (Google Cloud Platform, Tableau, Kubernetes, Spark, Airflow).
- Ensure compliance with aviation industry regulations, data governance, and privacy standards (ICAO, GDPR, etc).
- Represent AirAsia in strategic data partnerships with Google, AIMS, Airbus, GE, Navitaire, and academia, driving innovation and research collaborations.
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