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Data Scientist III, Media & Paid Social Analytics

Job in Washington, District of Columbia, 20022, USA
Listing for: Traveltechessentialist
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems & Technology Analysis, Data Scientist
Salary/Wage Range or Industry Benchmark: 138000 - 193000 USD Yearly USD 138000.00 193000.00 YEAR
Job Description & How to Apply Below

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…
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