Machine Learning Scientist III - Customer Lifetime Value

Expedia Group•Austin, TX

2d•$137,500 - $220,000

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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