Data Scientist II, Connectivity 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.

The Connectivity Analytics team within Expedia Group’s Yield & Analytics organization serves as Business and Product Analytics specialists for our Supply Connectivity teams across Lodging, Air and Car. We turn complex data into clear, actionable insights across commercial and technical KPIs, develop scalable solutions to business challenges, and identify opportunities for growth.

If you are excited by solving meaningful business problems, collaborating across teams, and using data and AI-enabled tools to improve how we work and make decisions, this could be the role for you.

• Own analytics projects from problem framing and scoping through data preparation, analysis, visualization and delivery, working iteratively with stakeholders and manager support to drive measurable improvements
• Extract and combine large datasets from multiple sources, creating reliable, reusable datasets, pipelines and well-documented, shareable code using SQL and Python
• Apply descriptive statistics, experimentation and appropriate analytical methods including pre/post analysis, causal impact approaches and basic predictive models to answer business questions
• Create clear, persuasive visualizations, scalable dashboards and automated reporting for technical and non-technical audiences using tools such as Tableau and Looker
• Use AI and LLM-enabled tools as a core part of your workflow, for example, to accelerate coding, automate reporting, summarize insights, improve documentation and reduce manual effort while applying appropriate quality checks and judgment
• Partner transparently with stakeholders and analytics peers, communicate methodology and caveats clearly, and translate findings into concise recommendations and practical next steps

• Bachelor's or Master's degree in Mathematics, Science, Statistics or a related technical field, with 1–2+ years of relevant experience; or 2+ years of professional experience in a comparable data analytics role
• Intermediate proficiency in SQL and Python, R or a similar language, including experience structuring, transforming and analyzing large datasets
• Experience combining data from multiple sources and writing efficient, reusable code that can be translated into repeatable data pipelines or shared with peers
• Working knowledge of probability, descriptive statistics, regression and experimental design, with the ability to distinguish statistically significant results from exploratory findings
• Experience selecting practical analytical approaches for business questions, with familiarity with common models such as linear or logistic regression and clustering
• Experience building clear dashboards and visualizations, ideally in Tableau, and automating recurring measurement or reporting to enable stakeholder self-service
• Knowledge of data quality checks, reproducibility, documentation, and query cost and performance optimization best practices
• Hands-on experience using AI capabilities to streamline analytical workflows, reduce manual effort and improve productivity, with an interest in continuously learning and applying new AI-enabled approaches
• Strong analytical problem-solving, communication and storytelling skills, with a proactive, collaborative approach and the ability to make complex concepts accessible to different audiences

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.

Equal Opportunity