Data Scientist III, Marketplace 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
The Yield & Analytics organization serves as the analytics center of excellence for our two-sided marketplace. We deliver data-driven insights that support a scalable, profitable, and high-quality marketplace for travelers, partners, and Expedia alike. Our work spans technically complex problem spaces, from deep-dive analysis to experimentation to machine-learning-informed product development.
Our team is looking for an experienced analytics professional to strengthen our analytics power and support strategic initiatives.
We are looking for a hardworking and intelligent individual to fill the DS III analytics role. This is a mid-level individual contributor role that partners closely with the Yield and Analytics organization and engineering teams to drive data-informed decisions and improve both traveler and partner experiences across our platforms.
In this role, you will:
Work across large and complex datasets to answer high-value product and marketplace questions.
Write efficient, scalable SQL and use analytical tooling such as Python to extract, transform, validate, and analyse data.
Monitor, analyze, and optimize the performance, stability, and outputs of the Supply Engine against key business metrics and operational expectations.
Proactively provide data-driven insights and recommendations to support decision-making and align the Supply Engine with commercial goals across supply channels.
Proactively identify operational gaps and inefficiencies and recommend improvements and automation opportunities.
Partner with engineering in democratizing data to enable AI native solutions and deliver AI artefacts that will help business stakeholder.
Evaluate data quality, identify gaps or risks in source data, and improve the reliability and reusability of analyses and analytics workflows.
Build clear, decision-oriented narratives and artifacts that help technical and non-technical stakeholders understand the why, the so what, and the recommended next step.
Proactively build trusted relationships with stakeholders across Product and Engineering, and manage expectations across multiple projects and priorities.
Clearly articulate decision rationale, methodology, and recommendations to both technical and non-technical stakeholders, using clear and compelling storytelling.
Mentor team members and contribute to a culture of learning and innovation.
Experience and Qualifications:
Bachelor's or Master's degree in Business, Mathematics, Economics, Statistics, or a related discipline, or equivalent experience.
Preferred: 5+ years of experience in analytics, business intelligence, or a related field, with a proven track record of managing data-driven processes, driving improvements in operational efficiency, and delivering insights that drive business impact.
Advanced SQL skills for data analysis, structuring, and transforming data, and experience working with complex data ecosystems are must-haves.
Proficiency in Python or a similar programming language for data analysis and problem solving.
Well-versed in building and maintaining reports in Tableau or similar data visualization tools.
Strong problem-solving skills and business acumen, with the ability to frame complex business problems as analytical tasks.
Strong communication and stakeholder management skills, with the ability to translate complex analyses into clear, actionable insights for technical and non-technical audiences.
Excellent attention to detail, coupled with the ability to maintain a big-picture perspective.
Experience managing multiple projects simultaneously and delivering results in a fast-paced environment.
Demonstrated ability to work independently through ambiguous questions, dig deeply into data issues, and translate business problems into effective analytical approaches.
Strong stakeholder communication skills, including the ability to explain methods, assumptions, tradeoffs, and recommendations clearly to both technical and non-technical audiences.
A proactive, self-starting approach, with strong ownership, curiosity, and judgment in complex problem spaces.
Experience using AI capabilities to streamline processes, reduce manual effort, and improve productivity across projects.
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
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.