Principal Data Scientist, Amadeus

• Required: Undergraduate Degree
• Preferred: Undergraduate degree with quantitative focus, such as engineering, economics, mathematics, statistics, or similar
• Masters Degree or equivalent technical experience nice to have
• Experience with travel industry, especially airline revenue management, scheduling, or network planning
• Strong analytical skills with a proven ability to manipulate and interpret complex data sets
• Excellent communication and presentation skills, with the ability to convey technical concepts to a non-technical audience effectively
• Strong problem-solving abilities and attention to detail, with a focus on delivering accurate and actionable insights
• Ability to work independently and collaboratively in a fast-paced, deadline-driven environment
• 5 years working with SQL and Python

Desirable

• The Airline Solutions Data Science team designs, develops, and delivers data science, AI/ML, and algorithmic reasoning features at the core of Airline solutions products
• Our solutions help airlines decide where and when to fly, how to allocate capacity, and how to price itineraries with the goal of maximizing network profitability
• You’ll be a senior individual contributor working to design, develop, and implement data-driven solutions in the network planning, scheduling, or revenue management domains (including forecast, machine learning, AI, choice-modeling, optimization solutions, anomaly detection and more)
• Champion projects with cross-functional teams, including product managers, data engineers, customers, and stakeholders, to define business requirements and deliver data-driven solutions
• Develop and maintain effective data models, algorithms, dashboards, and reports that provide actionable insights and support business strategies
• Develop high-quality analytics applications, visualizations, statistics, and machine learning solutions that deliver value to our customers
• Communicate findings and recommendations in a clear and concise manner to a non-technical audience, including airline executives, managers, and analysts
• Stay up-to-date with industry trends and best practices in business intelligence, forecasting, optimization, data visualization, revenue management, and airline network planning/scheduling to drive innovation and enhance the company's competitive advantage

• End Date: April 8, 2025
• The application process takes no longer than 10 minutes!
• Create your candidate profile, upload your Resume/CV and apply today!