Machine Learning Scientist II
Expedia Group · Switzerland - Geneva ·
- Category
- ML ai
- Experience
- 2+ years
Expedia Group · Switzerland - Geneva ·
Expedia, Inc. · Madrid, Spain
General Motors · Austin, Texas, United States of America
Morgan Stanley · New York, New York, United States of America
Intermedia Intelligent Communications · Portugal, Portugal
At 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.
Here, 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.
As 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.
You 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.
Develop, evaluate, and improve machine learning models that address real-world Air product and business problems.
Translate ambiguous problems into measurable objectives, selecting appropriate data, modeling approaches, and evaluation methods.
Partner with engineers, product managers, scientists, analysts, and Air domain experts to move machine learning solutions from experimentation into reliable products.
Analyze large and complex datasets, identify meaningful patterns, and communicate data-driven recommendations to technical and non-technical stakeholders.
Design 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.
Safely 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.
Minimum Qualifications:
Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
2+ years of relevant professional experience.
Experience 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.
Strong programming and data analysis skills, including experience with machine learning methods, model evaluation techniques, and relevant development tools.
Working knowledge of system design, low-level design, API design, and data modeling as they relate to integrating machine learning capabilities into products.
Advanced degree in machine learning, computer science, statistics, mathematics, economics, operations research, engineering, or a related technical discipline.
Experience or strong domain interest in airlines, travel marketplaces, revenue management, yield management, pricing, or commercial decision science.
Experience operating machine learning models or data products at scale, with attention to reliability, monitoring, maintainability, and responsible performance.
Practical exposure to experimentation or causal-inference methods, such as controlled experiments, quasi-experimental designs, or treatment-effect estimation.
Experience working with large datasets; familiarity with distributed computing frameworks such as Apache Spark is a plus.
Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.
Accommodation requests
Expedia 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 https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia 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.
Important notice
Employment 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 .
Equal Opportunity
Expedia 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.hpe · Spring, Texas, United States of America