Data Scientist III - Growth Marketing
Expedia Group
Seattle, WA, US
Onsite
2026-07-02
Announced salary
$137,500 - $220,000
Low
$101K
Median
$133K
High
$176K
Market in Seattle · BLS OEWS 2025
Estimated net pay
$8,771 - $13,624
/month · 23% withheld
after tax & contributions · Single, no dependents
Job description
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 Scientist III \- Growth Marketing**
**Introduction to the team**
We create and deliver tailored marketing strategies for Expedia Group’s brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology.
As a Data Scientist on the Growth Marketing team, you use data, experimentation, and modeling to grow Expedia Group’s brands efficiently and profitably. You partner with Marketing, Product, Engineering, and Analytics and excel at turning complex data into clear stories and priorities for action.
**In this role, you will:**
* Spot and prioritize high‑impact opportunities where data, experimentation, and visualization can clarify performance and guide marketing strategy.
* Design and evaluate marketing experiments and measurement frameworks (e.g., A/B tests, incrementality, pre/post, causal impact, casual inference, regression, multivariate analysis) to optimize spend, targeting, and creative across channels.
* Build models and analysis‑ready datasets using SQL and Python/R, working with large, multi‑source marketing and p
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