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About the Role
Join our global Operations Research team as a Data Science Engineer, where you will apply advanced statistical analysis, data modeling, and predictive analytics to solve complex strategic and operational challenges in the airline industry. This role is crucial for optimizing revenue performance, advancing retailing and distribution, and elevating the traveler experience.
Responsibilities
- Partner with airline subject matter experts to turn operational and consumer data into actionable predictions that optimize customer behavior and business performance.
- Develop, test, and calibrate custom data models, forecasting techniques, and machine learning algorithms, performing proof-of-concept studies and proving value through benchmark demonstrations.
- Source data from multiple data sources and write high-quality data manipulation scripts in R, Python, Perl, and bash.
- Collaborate with software engineers to write, implement, and test production-quality C++ and Python code for forecasting and data analytics tools.
- Establish monitoring processes and tools to continuously evaluate data accuracy, assess model performance, and resolve software improvements or customer complaints.
Requirements
- Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline.
- Advanced programming skills in Python and modern C++, alongside proficiency in R, SQL, PySpark, Perl, bash, Java, or JavaScript.
- Proven ability to apply advanced statistical concepts (regression, distributions, hypothesis testing) and machine learning techniques (clustering, decision trees, neural networks) to real-world problems.
- Experience deploying statistical and machine learning models in cloud environments using services like Amazon SageMaker and Amazon Forecast.
- Strong communication skills with demonstrated experience presenting graphical analytics to clients, sales, and software engineering teams.
- Industry experience or domain knowledge in airline, hospitality, or retailing decision support systems.
- Hands-on experience developing customer choice models, price elasticity estimations, and market potential estimations.
- Practical understanding of airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.
Skills
- R
- Python
- Perl
- bash
- C++
- SQL
- PySpark
- Java
- JavaScript
- Statistical analysis
- Data modeling
- Predictive analytics
- Machine learning
- Regression
- Distributions
- Hypothesis testing
- Clustering
- Decision trees
- Neural networks
- Amazon SageMaker
- Amazon Forecast
Location
- Global
Work Type
- Hybrid
Experience Level
- Advanced
Education Level
- Advanced degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning, or a related quantitative discipline
Benefits
- Competitive pay and performance-based bonuses
- Flexible work options
- Comprehensive healthcare coverage
- Generous PTO and holidays
- Strong retirement planning support
- Family-friendly benefits
- Professional development opportunities
About the Company
- Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide.
Equal Opportunity
- Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities.
- Sabre is an equal employment opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals. EEO IS THE LAW