Senior Data Science Engineer

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 and capable of driving complex, cross-functional projects to completion with minimal direction. Desirable (Optional) Qualifications Experience in the Travel Industry, specifically within the Global Distribution System (GDS) or Online Travel Agency (OTA) space. Work arrangements Hybrid working mode; 3 chosen days from the office in a weekFlexible working hours: Maintain your work-life balance by adjusting your working hours to your needs Paid time off Year-End-Break: enjoy additional fully paid days off during the last week of the yearPaid parental leave: Take up to 12 weeks off with pay after birth or adoption of a child. Sabre Global Paid Parental Leave runs concurrently with local leave policies.Paid volunteer time: take up to 4 days annually to give your time to a charitable organization of your choice Your money My Benefit platform/Multisport card: enjoy the benefit cafeteria system and use popular sport cardTax deduction: take the opportunity to claim deductible costs, reducing your income taxEmployee Capital Plans: profit from long-term saving scheme co-financed by Sabre and the State TreasuryBaby Bonus: benefit from one-time allowance on childbirth or adoption Say Thanks program: collect points on recognition program and transfer them to wide variety of gifts and services Health and wellness Luxmed VIP medical coverage: take care of yourself and your family with the extensive medical package with a broad range of additional servicesForeign travel insurance: feel safe going abroad with free Allianz insurance offered as part of our Lux Med packageEmployee Assistance Program: find help in free, confidential program with a certified counselorMindfulness & meditation apps: take care of your mental and physical healthLife insurance: sign up for free, high coverage life insurance program Career development Professional development: access to e-learning platforms as well as join Sabre live learning sessionsCertification and tuition reimbursementOur Communities: join one of our team member groups focused on sharing knowledge and best practices (Google Developers Group, Innovation Lab Community, Women in Technology, SOLVE!T and many more) And more Car and bike parking Fun & Relax zone in modern office: enjoy electronic tables to work, foosball, ping pong, pool table, swings, massage chairs and terraces to admire a panoramic view of Kraków. We have parents’ rooms as wellNo dress codeInnovation Lab: access Augmented Reality & Virtual Reality equipment, Robot construction kit, 3D printers and many moreAttractive Referral Bonus: earn $2500 USD for every hired referral