Machine Learning Scientist III - Customer Lifetime Value

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. The Marketplace Machine Learning Science team is owning a high-impact initiative focused on Customer Lifetime Value (CLV)—a key business metric that will shape long-term company performance and executive decision-making. As a Machine Learning Scientist III, you will lead efforts to build next iterations of CLV prediction frameworks that optimize how we serve millions of travelers globally. This is a high-visibility role with direct exposure to executive leadership and cross-functional teams across product, engineering, marketing, customer service, pricing, and more. You’ll be joining an early phase initiative with strong leadership support and urgency to deliver high business impact starting immediately. This role offers a rare opportunity to shape how Expedia Group measures and optimizes long-term customer value. You’ll be part of a machine learning science team just started the evolution of existing CLV prediction framework, giving you the chance to influence foundational modeling decisions and build scalable solutions to shape the team’s future strategic direction. In this role, you will: Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigor Apply causal analysis to understand drivers of customer lifetime value and identify more important customer signals to improve CLV prediction (e.g., marketing, service, product features) Design and execute back-testing methods to evaluate and validate model performance for both development phase and production live models Translate complex findings into actionable insights for both technical and non-technical stakeholders Break down ambiguous business requirements into structured, data-driven solutions Stay informed on relevant ML and AI research, with support from Expedia’s learning and development resources Collaborate with other machine learning and data science teams to foster a strong data science culture across Expedia Group Minimum Qualifications: Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field 3-5+ years of professional experience, though candidates with equivalent project or research experience are encouraged to apply Strong hands-on experience in building large scale prediction models using advanced deep learning technologies like transformer models. Proven ability to analyze large, complex datasets and generate actionable insights Pragmatic problem solver focused on scalable and effective methods Ability to share ideas effectively with diverse technical and business audiences Preferred Qualifications: Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valued Experience with end-to-end ML solution development Experience or interest in applying AI techniques, including large language models (LLMs), is a plus The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
 Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future. Benefits and perks Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 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 https://careers.expediagroup.com/jobs/ . 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, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.