Machine Learning Scientist III

Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel?

Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex computational problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power various aspects of highly complex travel searches, recommendations and advertising.

This is your opportunity to build the core algorithms that drive Expedia Group's advertising marketplace. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive a global ecosystem of advertising partners and millions of travelers across Expedia Group’s B2C and B2B platforms. 

What You'll Do:

• Design & Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring. 
• Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations. 
• Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively. 

Who You Are:

Experience & Education:

• PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
• 3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems. 

Functional & Technical Skills 

• Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact. 
• Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL.  Follow software engineering best practices and contribute to the team's shared codebase. 
• First-Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas. 

Highly Desired Experience 

• Domain knowledge in online advertising or e-commerce. 
• Experience building and deploying models using GenAI/LLM technologies.