Machine Learning Scientist II

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.

Why Join Us? 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 we know that 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.

In this role, you will:

Implement & Validate ML Models: You will implement, test, and validate machine learning models, taking ideas from concept to production.

Test, Learn, and Iterate: design and analyse rigorous A/B tests to validate your models, quantify their business impact, and proactively monitor and iterate on model performance.

Collaborate and Learn: Partner effectively with senior scientists, engineers, and product managers to understand requirements and contribute to solutions. You will continuously deepen your understanding of our data, infrastructure, and problem space.

Minimum Qualifications:

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).

1+ years of hands‑on industry experience building and deploying machine learning models to solve real‑world problems.

ML & Statistical Fundamentals: A strong foundation in machine learning theory (e.g., Supervised/Unsupervised Learning) and core statistical concepts. A strong grasp of the tools needed to measure impact, including experimental design (A/B testing).

Technical Fluency: Proficiency in Python and its data science ecosystem (e.g., scikit‑learn, pandas, PySpark). Experience with SQL for data querying is essential. Follow software engineering best practices and contribute to the team’s shared codebase.

Team player: You are a strong collaborator who can effectively partner with teammates to break down problems and implement solutions.

First‑Principles Problem Solver: Skilled at dissecting ambiguous problems and clearly communicating complex technical ideas.

Preferred Qualifications:

Domain knowledge in online advertising or e‑commerce.

Experience building and deploying models using GenAI/LLM technologies.

Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through: Accommodation Request.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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