Data Scientist II - VR Performance 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.

Introduction to the Team

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

We’re hiring a hands-on high-performing individual contributor to own and evolve a core Vacation Rental KPI. You will be responsible for turning complex data into clear, actionable insights for senior leaders.

You will lead analysis projects end-to-end—designing and building datasets, creating robust analytical products, and delivering high-impact dashboards and recommendations. You’ll follow team-wide visualization standards and use AI/LLM tools pragmatically to create efficiency and scale.

In this role, you will:

- Own a key KPI and its dashboard: Define, build, and maintain a stakeholder-facing dashboard that becomes the single source of truth for KPI health and performance.

• Lead end-to-end analytics projects (scoping, data engineering, analysis, visualization, delivery) that drive measurable improvements in supply, quality, and conversion.

• Build reliable, repeatable datasets and pipelines from multiple sources using SQL and scripting (Python/R), with strong attention to performance and data quality.

• Create clear, persuasive visualizations and interactive dashboards (e.g., Tableau, Plotly, ggplot) for both technical and non‑technical audiences, with a strong focus on storytelling and decision support.