Data Scientist II, Marketplace Analytics

Job Summary

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 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.

In this role

• 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.
• Partner with engineering in democratizing data to enable AI native solutions and deliver AI artefacts that will help business stakeholder.
• Independently scope and solve ambiguous problems, clarifying requirements, selecting analytically sound approaches, and driving work from question to recommendation.
• 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.

Experience and Qualifications

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.