Data Scientist III
Required skills
- Operations Research
- predictive analytics
- Offer/Order Management
- Continuous Dynamic Pricing
- machine learning algorithms
- product development
- data manipulation scripts
- forecasting techniques
- proof-of-concept studies
- benchmark demonstrations
Nice to have
- airline industry
- hospitality
- retailing decision support systems
Role summary
Sabre is seeking a Data Science Engineer to join its Operations Research team, focusing on the airline industry. This role involves applying advanced statistical analysis, data modeling, and machine learning to solve complex strategic and operational challenges. Responsibilities include translating business questions into models, defining KPIs, sourcing data, building manipulation scripts, applying ML algorithms for predictive insights, and collaborating with software engineers. The ideal candidate will have advanced programming skills in Python and C++, proficiency in R, SQL, PySpark, and other languages, expertise in statistical concepts and ML techniques, and experience with cloud environments like AWS SageMaker. Preferred qualifications include domain knowledge in travel and experience with customer choice and revenue management models.
Powering the agentic revolution in travel. 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.
Data Science Engineer
We are seeking a Data Science Engineer to join our global Operations Research team, where innovation knows no borders. This team applies advanced statistical analysis, data modeling, and predictive analytics to solve complex strategic and operational challenges in the airline industry. It helps airlines optimize revenue performance, advance retailing and distribution through Offer/Order Management and Continuous Dynamic Pricing, and elevate the traveler experience. With an inclusive culture and flexible work environment, we work together with boldness, curiosity and commitment so we can all win together.
As a Data Science Engineer, you will translate complex business questions into robust statistical models, define critical KPIs, and communicate empirical results to internal and external decision makers. You will source data across diverse platforms, build high-quality data manipulation scripts, and apply machine learning algorithms to drive predictive insights and product development cycles. This role requires expert analytical capability, proactive collaboration with software development teams, and the drive to deliver measurable business outcomes.
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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