Senior Data Science Engineer

Benefits

Additional Information

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. Sabre is seeking a talented Sr. Data Science Engineer to join the Sabre Data Intelligence & Research team. Sabre Data Intelligence & Research 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 Airline Pricing, Agency Automation, Network Planning, Airline Operations, and Departure Control Systems (DCS). We build high-performance systems that streamline travel agency workflows, optimize airline networks, and enhance the productivity of travel consultants worldwide. By blending classical mathematical optimization with cutting-edge Machine Learning, Generative AI, and robust MLOps, 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 complex problems. As a Data Science Engineer in this role, you will be at the forefront of exploring innovative solutions within the Media space, driving rapid data analytics Proof of Concepts (POCs) from initial design through development and testing to shape the next generation of our software systems. Role and Responsibilities Architect and Deploy: Code and deploy complex software solutions and 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. Drive Research & Innovation: Identify, prototype, and scale "next-gen" ideas within the travel domain, such as AI-driven automation for Travel Management Companies (TMCs) and personalized, real-time itinerary optimization. Design AI Systems: Build end-to-end AI systems with a specific focus on identifying new market opportunities in Media, integrating Large Language Models (LLMs) for internal tools, customer intent recognition, and conversational commerce. Solve Organizational Challenges: Address high-impact problems, such as optimizing Global Distribution System (GDS) workflows and migrating legacy automation logic into modern, GCP-based AI architectures. Establish AI Lifecycle Policies: Define rigorous standards for MLOps to ensure high-fidelity model performance across the volatile data landscapes of the travel industry. Promote Engineering Excellence: Utilize best practices in Python, Go, or C++ to ensure research-grade prototypes are refactored into production-quality, low-latency systems. Collaborate Cross-Functionally: Work with leadership, architects, and product managers to align technical roadmaps with business goals like NDC adoption, total travel cost optimization, and operational efficiency. Influence Stakeholders: Advocate for the adoption of disruptive technologies-including Agentic AI-within mission-critical, high-availability travel environments. Mentor and Develop: Guide junior data scientists and engineers, fostering a culture of rigorous experimentation, academic-level research, and high-performance engineering. Qualifications and Education Requirements Experience: Minimum 5 years of related experience in Data Science, AI Engineering, or Operations Research. Education: Advanced Degree (Masters/PhD preferred) in Mathematics, Machine Learning, Statistics, Computer Science, or Physics with a strong research background and a proven track record of innovation. Agile Development: Proven experience in Agile Software Development, with a demonstrated ability to move complex models from the research phase to global production. AI/ML Expertise: Advanced solutioning skills encompassing Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP). Programming Mastery: High-performance programming skills with mastery of Python, Go, or C++ for computationally intensive and latency-sensitive tasks. Analytical Skills: Superior ability to process high-volume, real-time data from GDS, OTA, and airline sources. Tech Stack: Deep knowledge of the Modern AI Tech Stack, including GCP (Vertex AI, BigQuery), MLOps tools, and containerization (Docker, Kubernetes). Generative AI: Proficiency in GenAI frameworks and experience with RAG-based systems for workflow automation. Leadership: Self-motivated an