Data Scientist III, Media & Paid Social 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.

Data Science III – Marketing Analytics Expedia Group | Seattle About This Role At Expedia Group, we are passionate about using data and analytics to create an amazing travel experience and bring the world within reach.

We are seeking an exceptional individual to join the Expedia Marketing Analytics team . In this role, you will design and execute measurement frameworks and experimentation to evaluate marketing effectiveness, generating insights that directly inform marketing strategy, investment decisions, and performance optimization for Paid Social, Programmatic, and Paid App channels.

Your work will ensure our marketing investments are guided by robust evidence, enabling the business to drive sustainable growth and maximize return on marketing spend. This is an opportunity to be part of a fun, exciting, and data-driven company where analytics plays a critical role in shaping business outcomes.

Key Impact As a senior data science leader, your primary focus is to own measurement strategy and drive business impact by connecting rigorous data science with strategic business decisions. You will work independently on high-impact, ambiguous measurement challenges, taking vague business questions and transforming them into structured analytical solutions that guide multi-million dollar investment decisions. Your work will directly influence executive strategy, shape how the organization measures marketing ROI, and establish best practices for analytics rigor across the company.

You will be expected to operate with strategic judgment, drive initiatives to completion with minimal oversight, and elevate the analytics discipline within your organization.

Key Responsibilities Own measurement strategy and design for marketing effectiveness using advanced data science methodologies (A/B testing, Conversion lift studies, incrementality analysis, attribution models, marketing mix modeling)
Take ambiguous, high-stakes business questions and independently frame them into structured analytical problems , applying creative data science approaches to deliver practical, scalable solutions

Proactively identify measurement gaps and develop solutions before being asked; anticipate and solve complex measurement and data challenges

Build reusable measurement frameworks that improve measurement quality, reduce time-to-insight, and set standards for analytics rigor across the organization

Generate strategic insights through deep-dive analyses using SQL, Python, and Tableau to uncover growth opportunities and quantify incremental value of marketing investments

Translate complex findings into clear, compelling narratives for C-suite and senior leadership to guide multi-million dollar budget decisions

Drive cross-functional partnerships across marketing, finance, engineering, and data teams to implement measurement frameworks and ensure adoption

Influence stakeholders at all levels to adopt data-driven decision-making and shape how the organisation measures marketing ROI among channel managers, advertising partners, senior leadership, finance, and data engineers.

Promote measurement best practices and establish standards within the organization; stay current with industry advancements in experimentation, attribution, and measurement

Mentor and raise the bar for analytics capabilities within the team and contribute to advancing the analytics discipline

Operate with independence and ownership : take initiative on ambiguous problems, drive solutions to completion, and demonstrate strategic judgment in prioritizing high-impact work

Required Qualifications Relevant degree in a quantitative discipline (Mathematics, Data Science, Engineering, Statistics, or related field) OR minimum 3+ years of experience in analytics, data science, or a related analytical role Experienced in measuring marketing effectiveness and channel ROI such as incrementality testing, marketing mix modeling (MMM), cleanroom, or other marketing measurement method or frameworks

Demonstrated capability to independently frame ambiguous business problems into data science solutions within marketing analytics and drive end-to-end processes from data extraction to insight implementation

Strong proficiency in SQL, Python, and Tableau for data extraction, analysis,…