Data Scientist III, 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, Analytics As a Data Scientist III, Analytics, you will independently lead analytical work that shapes decisions, improves performance, and scales better customer and business outcomes. You will combine technical expertise with business judgment to frame complex problems, develop robust analyses, and communicate clear recommendations to technical and non-technical audiences. Introduction to the Team The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business. We partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company. This role sits within our analytics organization and supports post-booking servicing experiences. You will use data, experimentation, and analytical thinking to improve traveler outcomes, inform product decisions, and deliver measurable business impact in partnership with product, analytics, and leadership stakeholders. In this role, you will: Lead analytical projects or small work-streams from problem definition through recommendation, delivering insights that influence product and business decisions Extract, combine, and transform data from multiple sources to build reliable datasets for analysis, experimentation, and modeling Apply statistical methods, including regression, analysis of variance, hypothesis testing, and experiment design, to evaluate impact and solve business problems Use Structured Query Language (SQL), Python, R, or similar tools to analyze large datasets, develop scalable analytical approaches, and create clear visualisations Partner with subject matter experts and stakeholders to refine business questions, define success measures, and translate findings into practical recommendations Document analytical work, share reproducible code, and provide guidance and feedback that helps strengthen the analytics community Experience and Qualifications:  You have a bachelor's degree, master's degree, or doctorate in mathematics, statistics, computer science, economics, engineering, or related technical field; or Equivalent related professional experience