Machine Learning Scientist II in Genève

pAt Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. /ppHere, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. /ph3Introduction to the team /h3pAs a Machine Learning Scientist II, you will join Expedia Group's Air Pricing Machine Learning Science team and develop production machine learning solutions for complex, high-volume airline and travel marketplace challenges. At a high level, the team uses predictive modeling, experimentation, and decision science to understand traveler demand and response to price, improve booking and commercial decisions, and support coordinated optimization across Air pricing levers. /ppYou will work across the machine learning lifecycle, from understanding a business problem and exploring data through model development, causal evaluation, deployment, and monitoring. You will collaborate with experienced scientists, engineers, analysts, product partners, and Air domain experts while continuing to develop your technical and business expertise. /ph3In This Role, You Will /h3ulliDevelop, evaluate, and improve machine learning models that address real-world Air product and business problems. /liliTranslate ambiguous problems into measurable objectives, selecting appropriate data, modeling approaches, and evaluation methods. /liliPartner with engineers, product managers, scientists, analysts, and Air domain experts to move machine learning solutions from experimentation into reliable products. /liliAnalyze large and complex datasets, identify meaningful patterns, and communicate data-driven recommendations to technical and non-technical stakeholders. /liliDesign and conduct experiments, apply causal-inference methods where appropriate, interpret results, and iterate on models and workflows to improve accuracy, efficiency, and business and traveler outcomes. /liliSafely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products. /li /ulh3Minimum Qualifications /h3ulliBachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience. /lili2+ years of relevant professional experience. /liliExperience applying machine learning, statistical modeling, or related quantitative methods to technical or product problems, with ownership across a service, product area, or defined technical domain from problem formulation through evaluation and delivery. /liliStrong programming and data analysis skills, including experience with machine learning methods, model evaluation techniques, and relevant development tools. /liliWorking knowledge of system design, low-level design, API design, and data modeling as they relate to integrating machine learning capabilities into products. /li /ulh3Preferred Qualifications /h3ulliAdvanced degree in machine learning, computer science, statistics, mathematics, economics, operations research, engineering, or a related technical discipline. /liliExperience or strong domain interest in airlines, travel marketplaces, revenue management, yield management, pricing, or commercial decision science. /liliExperience operating machine learning models or data products at scale, with attention to reliability, monitoring, maintainability, and responsible performance. /liliPractical exposure to experimentation or causal-inference methods, such as controlled experiments, quasi-experimental designs, or treatment-effect estimation. /liliExperience working with large datasets; familiarity with distributed computing frameworks such as Apache Spark is a plus. /liliFamiliarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products. /li /ulh3Accommodation requests /h3pExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at /ph3About Expedia Group /h3pExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. /ph3Important notice /h3pEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is /ph3Equal Opportunity /h3pExpedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. /p #J-18808-Ljbffr