Data Scientist II - Advertising

Introduction to the Team

Millions of travelers turn to Expedia Group’s platforms each week to plan their next great adventure, presenting tremendous opportunity for partners to reach and inspire a global audience. The Advertising Pricing & Yield team plays a pivotal role in optimizing our advertising revenue by blending data analysis, business insight, and strategic pricing.

We’re a collaborative, high-energy group, constantly evolving and partnering closely with teams across sales, product, operations, and finance. Here, you’ll enjoy excellent visibility into Expedia Group’s overarching business opportunities and be empowered to help us drive innovation as we continue to lead the travel media industry.

In this role, you will:

• Develop, maintain, and enhance business-critical reports, dashboards, and visualizations to inform decision-making and revenue strategy for our ads business.

• Perform ad hoc analyses, employing advanced visualization techniques to present insights and recommendations to stakeholders across Expedia Group Advertising.

• Support new product launches and strategic initiatives with analytics and performance measurement aimed at driving ads revenue growth.

• Create insights and actionable next steps for our off-site advertising product catalogue.

• Maintain high standards of data integrity through rigorous source control, thorough documentation, testing protocols, and quality assurance.

• Collaborate with teams in product, data engineering, and finance to implement scalable analytics solutions and optimize key metrics.

Experience and Qualifications:

• Bachelor’s degree in a quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Finance, Advertising, Business Administration, Media, or related field) or equivalent experience.

• Preferred: 3–4+ years of professional experience analyzing and communicating actionable insights from data, preferably in the advertising industry.

• Strong analytical approach—able to tackle complex problems, manage ambiguity, and provide structure and clarity.

• Demonstrated ability to manipulate and synthesize large datasets, using SQL or equivalent and big data tools/languages.

• Skilled in data visualization, with experience using Tableau, Looker, or similar platforms.

• Excellent communicator, able to clearly explain complex analyses and recommendations to both technical and non-technical audiences.

• Results-driven, intellectually curious, and comfortable working independently with a high degree of ownership.

• Passionate about translating data-driven insights into practical business solutions in a commercial setting.

• A strong collaborator willing to go beyond the scope of the role to support team success.

• Experience in digital advertising, e-commerce, pricing, or revenue management.

• Proficiency with Python or another major language for machine learning/data science.

• Experience developing, deploying, and maintaining data science products in production environments.

• Flexibility to work GMT-based hours.