Data Scientist II, 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 II 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, Master’s or PhD degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related technical field; or equivalent related professional experience.
• 2+ years of relevant experience in analytics, data science, product analytics, or a related quantitative role.
• Strong SQL skills and experience working in complex data environments, including joining, cleaning, and validating large datasets from multiple sources.
• Proficiency in Python or a similar programming language for data analysis and problem solving.
• 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
• Accommodation requests
• Flexible work arrangements
• Professional development opportunities

Tagged as: Data Analysis, Python, SQL