Scan your resume against ATS criteria for this Senior Data Science Engineer role at Sabrejobs.
Sabre is an AI-native technology leader, backed by 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.
Sabre is an AI-native technology leader, backed by 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.
Sabre is seeking a talented
to join the
team.
is a specialized team of researchers, mathematicians, and AI engineers who serve as the intelligent core of Sabre’s travel marketplace. We are dedicated to solving the most complex challenges across the global travel domain. Our mission spans
We build high-performance systems that streamline travel agency workflows, optimize airline networks, and enhance the productivity of travel consultants worldwide. By blending classical
with cutting-edge
,
and robust
, we ensure our models power the next generation of travel distribution—from initial search and booking to post-trip service, agency efficiency, and seamless airport operations.
At Sabre, we’re passionate about building software that solves problems. In this role, you will plan, design, develop, and test new products and solutions revelevant for the industry and Sabre, help build software systems or applications for software enhancements.
complex software solutions or data intelligence pipelines that integrate advanced mathematical algorithms and machine learning models into Sabre’s core retailing, Network Planning, Agency Automation, and Departure Control platforms.
by identifying, prototyping, and scaling "next-gen" ideas within the travel domain, such as AI-driven automation for Travel Management Companies (TMCs) and personalized, real-time itinerary optimization.
, specifically focusing on identifying new market opportunities in Media, integration of Large Language Models (LLMs) for various internal tools, customer intent recognition, and conversational commerce.
, such as optimizing Global Distribution System (GDS) workflows and migrating legacy automation logic into modern, GCP-based AI architectures
, defining rigorous standards for
to ensure high-fidelity model performance across the volatile data landscapes of the travel industry.
by utilizing best practices in
, ensuring research-grade prototypes are refactored into production-quality, low-latency systems.
, including architects and product managers, to align technical roadmaps with business goals like NDC adoption, total travel cost optimization, and operational efficiency.
, advocating for the adoption of disruptive technologies—including Agentic AI—within mission-critical, high-availability travel environments.
junior data scientists and engineers, fostering a culture of rigorous experimentation, academic-level research, and high-performance engineering.
of related experience in Data Science, AI Engineering, or Operations Research.
in Mathematics, Machine Learning, Statistics, Computer Science, or Physics with a strong research background and a proven track record of innovation.
, with a demonstrated ability to move complex models from the research phase to global production.
, including Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP).
, with mastery of of the the programming languages such as
for computationally intensive and latency-sensitive tasks.
, particularly in processing high-volume, real-time data from GDS, OTA, and airline sources.
, including
, MLOps tools, and containerization (Docker, Kubernetes).
and experience with RAG-based systems for workflow automation.
, capable of driving complex, cross-functional projects to completion with minimal direction.
, specifically within the Global Distribution System (GDS) or Travel Agency (OTA) space.
, including AdTech ecosystems (DSPs/SSPs), Real-Time Bidding (RTB), campaign performance analytics, audience segmentation, or Media Mix Modeling (MMM).
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses.
Please note that candidates who meet the minimum criteria for the role will proceed in the selection process.
#LI-Hybrid#LI-NG1
ptors, 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.
How to apply for Senior Data Science Engineer at Sabrejobs?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
4+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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