Machine Learning Scientist III Causal Inference & CLV Strategy (Austin) at Expedia Group

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.Who We Are:Travel is a force for good. At Expedia Group (Expedia, Hotels.com, Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywherebecause we know that travel strengthens connections, broadens horizons, and bridges divides.Powered by more than 80+ terabytes of data and 20+ years of tech innovation, Expedia Group is one of the worlds largest travel platforms. With unrivaled knowledge of the industry and advanced technology, weve built a marketplace that filters through millions of possibilities for travelers and partners worldwide.About the Team:The Marketplace Machine Learning Science team is launching 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 causal models and experimentation 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. Youll be joining a zero-to-one initiative with strong leadership support and urgency to deliver impact starting immediately.Strategic Impact & Visibility:This role offers a rare opportunity to shape how Expedia Group measures and optimizes long-term customer value. Youll be part of a newly formed team with zero existing members on CLV, giving you the chance to influence foundational modeling decisions and build scalable solutions from the ground up.In this role, you will:Lead the research and implementation of scalable machine learning and data science solutions end-to-end with engineering rigorApply causal inference techniques to understand drivers of customer lifetime value and measure the impact of business interventions (e.g., marketing, service, product features)Design and execute robust experiments (e.g., A/B tests, quasi-experimental methods) to evaluate business strategies and validate model performanceTranslate complex findings into actionable insights for both technical and non-technical stakeholdersBreak down ambiguous business problems into structured, data-driven solutionsStay informed on relevant ML and AI research, with support from Expedias learning and development resourcesCollaborate with other machine learning and data science teams to foster a strong data science culture across Expedia GroupMinimum Qualifications:Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative fieldTypically requires 4+ years of professional experience, though candidates with equivalent project or research experience are encouraged to applyStrong hands-on experience in causal modeling and experimental designProven ability to analyze large, complex datasets and generate actionable insightsPragmatic problem solver focused on scalable and effective methodsAbility to share ideas effectively with diverse technical and business audiencesPreferred Qualifications:Proficiency in Python; familiarity with Spark is a plus but not required - eagerness to learn is valuedExperience with end-to-end ML solution developmentExperience or interest in applying AI techniques, including large language models (LLMs), is a plus