Expedia Group is looking to shape the future of travel by powering global travel for everyone, everywhere, and is seeking a Machine Learning Scientist to help build causal models and experimentation frameworks that optimize how they serve millions of travelers globally, with a focus on Customer Lifetime Value (CLV)
Requirements
- Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field
- Strong foundation in causal inference, experimentation design, and statistical modeling
- Experience answering 'what-if' questions through causal modeling to guide business decision
- Ability to analyze large, complex datasets and generate actionable insights
- 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
Responsibilities
- Research and implement 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
- Collaborate with stakeholders across diverse business functions to translate insights into strategic action
- Stay current with the latest ML and AI research, customizing cutting-edge techniques to Expedia’s unique problem space
- Contribute to a strong data science culture across Expedia Group through collaboration and knowledge sharing
Other
- Advanced degree in a related field
- Professional experience preferred to support rapid onboarding
- Strong collaboration skills and ability to share ideas effectively with diverse stakeholders
- Ability to work in a team environment and collaborate with cross-functional teams
- Must be authorized to work in the United States
