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