Data Scientist III, Marketplace Analytics

Role Overview

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.

What You Will Do

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 analyze data.

Why It Might Be a Fit

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.

Requirements

• Bachelor’s or Master’s degree in Business, Mathematics, Economics, Statistics, or a related discipline, or equivalent experience.
• 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.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid time off
• Flexible work arrangements
• Professional development opportunities