Machine Learning Scientist III - Customer Lifetime Value

Expedia•Austin, TX

5d•$146,000 - $204,500

About The Position

Expedia Group is hiring a Machine Learning Scientist III for its Marketplace Machine Learning Science team to advance Customer Lifetime Value (CLV) prediction frameworks. CLV is a high-impact business metric used to inform long-term company performance and executive decision-making. The role will help develop scalable solutions to optimize how Expedia Group serves travelers globally and will contribute to foundational modeling decisions and the initiative’s strategic direction. This high-visibility position involves direct exposure to executive leadership and collaboration with cross-functional teams, including product, engineering, marketing, customer service, and pricing. The scientist will lead end-to-end machine learning and data science work, apply causal analysis to identify drivers and signals that improve CLV prediction, and evaluate model performance through back-testing. The role also includes communicating findings to technical and non-technical stakeholders, turning ambiguous business needs into data-driven solutions, staying informed about relevant research, and collaborating with other data science teams.

Requirements

Advanced degree in Computer Science, Statistics, Operations Research, Econometrics, Economics, or a related quantitative field.
3–5+ years of professional experience; candidates with equivalent project or research experience are encouraged to apply.
Strong hands-on experience building large-scale prediction models using advanced deep learning technologies such as transformer models.
Proven ability to analyze large, complex datasets and generate actionable insights.
Pragmatic problem-solving skills, with a focus on scalable and effective methods.
Ability to communicate ideas effectively to diverse technical and business audiences.

Nice To Haves

Proficiency in Python.
Familiarity with Spark; it is a plus but not required.
Experience developing end-to-end machine learning solutions.
Experience or interest in applying AI techniques, including large language models (LLMs).
Eagerness to learn.

Responsibilities

Lead 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 customer signals that can improve CLV prediction, including marketing, service, and product features.
Design and execute back-testing methods to evaluate and validate model performance during development and for live production models.
Translate complex findings into actionable insights for technical and non-technical stakeholders.
Break down ambiguous business requirements into structured, data-driven solutions.
Stay informed about relevant machine learning and AI research, using 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.