Data Scientist III, Hotels.com Analytics

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors—Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together—help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Data Scientist III - Hotels.com Analytics

Expedia Group is seeking a talented and experienced Data Scientist III to join our Hotels.com Analytics team. In this role, you will own analytics for some of Hotels.com’s most important growth domains – such as customer growth, loyalty & retention, large‑scale merchandizing campaigns, and website performance.

You will frame ambiguous questions, design and execute rigorous analyses and experiments, and translate insights into decisions that shape the Hotels.com strategic priorities, product roadmap, and marketing tactics. You’ll work closely with product, marketing, supply, and collaborate with central analytics teams. Using tools like SQL, experimentation platforms, and occasionally Python, you will drive impact at scale.

This is a high‑impact, individual contributor role where your work will directly influence how millions of travelers discover, choose, and book hotels on Hotels.com.

In This Role, You Will

• Deep dive into Hotels.com customers and booking data to uncover patterns, diagnose issues, and suggest clear growth and optimization paths.
• Design, conduct, and analyze experiments (A/B tests, Pre/Post) for product and marketing initiatives, leveraging industry best practices and internal experimentation platforms.
• Develop and leverage a best‑in‑class analytical toolkit (SQL, Python, statistical and causal methods, experimentation frameworks) to extract insights and make data‑driven recommendations.
• Collaborate closely with cross‑functional teams (Hotels.com Product, Loyalty, Marketing, Supply, as well as other Analytics teams) to identify key business challenges and provide analytical insights and recommendations to support decision‑making.
• Drive action to improve Hotels.com KPIs (such as revenue, engagement, retention, and marketplace health), utilizing the 80/20 rule to focus effort on the most impactful results. Demonstrate creativity and persistence in overcoming roadblocks.
• Develop and maintain clear and user‑friendly dashboards and reports to track and analyze KPIs (e.g., customer value, engagement, campaign outcomes). Train stakeholders on their usage.
• Be curious and constantly monitor key metrics and trends to proactively suggest actions, test ideas, or highlight business opportunities for Hotels.com.