Data Scientist

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 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. We're building a more open world. Join us.

Data Scientist II, PLS Analytics

Introduction to team

Private Label Solutions (PLS) is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.

We're seeking a high-performing individual contributor with a passion for solving complex problems and uncovering opportunities through data. You'll operate with a high degree of independence, regularly engaging with stakeholders up to Director level, and leading your own analytical initiatives—whether that's steering a focused workstream or developing innovative data products.

In this role, you will :

• Independently extract data from multiple sources, combining them into required datasets for model building or analytics
• Apply probability and statistics to business problems (e.g., AB testing, causal inference), distinguishing between statistically significant results and exploratory analyses
• Utilize business acumen and technical knowledge to select appropriate techniques / designs for answering business questions (e.g., AB testing, pre / post analysis, counterfactual inference)
• Create clear visualizations that support data stories and enhance audience understanding through presentations and executive summaries
• Work with big data, understand potential challenges and solutions, and communicate effectively with both technical and non-technical partners
• Collaborate with stakeholders and analytics peers to identify objectives and propose appropriate solutions, demonstrating iterative thinking and identifying next steps based on findings

Experience and qualifications :