Machine Learning Scientist III – Causal Inference & CLV Strategy

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey.

We’re building a more open world.

Travel is a force for good. At Expedia Group (Expedia, , Vrbo, Travelocity, Orbitz, Wotif, and others), our mission is to power global travel for everyone, everywhere – because 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 world’s largest travel platforms.

With unrivaled knowledge of the industry and advanced technology, we’ve built a marketplace that filters through millions of possibilities for travelers and partners worldwide.

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.

You’ll be joining a zero‑to‑one initiative with strong leadership support and urgency to deliver impact starting immediately.

• Lead the research and implementation of scalable machine learning and data science solutions end‑to‑end with engineering rigor
• Apply 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 performance
• Translate complex findings into actionable insights for both technical and non‑technical stakeholders
• Break down ambiguous business problems 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

• Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field
• Typically requires 4 years of professional experience, though candidates with equivalent project or research experience are encouraged to apply
• Strong hands‑on experience in causal modeling and experimental design
• 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

• 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 $ to $. Employees in this role have the potential to increase their pay up to $, 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.

Expedia Group 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, or veteran status. This employer participates in E‑Verify.