What you'll do
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.
Sourced 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.
What you'll bring
Required qualifications
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.
Preferred qualifications
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.
Benefits that support you
We know support looks different for everyone. That is why Sabre offers benefits beyond medical and financial coverage, with programs designed to support your well-being, growth and life outside work:
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
Reasonable Accommodation
Sabre is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Sabre position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Sabre at recruiting@careers.sabre.com.
Determinations on requests for reasonable accommodation will be made on a case-by-case basis.
Equal Employment Opportunity
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
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