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Data Scientist II - Marketing Automation Analytics

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia Group
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 112000 - 156500 USD Yearly USD 112000.00 156500.00 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.

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.

Expedia Group is seeking an innovative Data Scientist to transform how we understand and optimize organic search performance across SEO and AEO (AI-enabled search). You'll build and maintain the AI and automation layer that powers performance intelligence for Expedia Group's retail brands including Expedia, , and Vrbo, enabling faster, deeper, and more scalable analysis without linearly scaling manual effort.

This role sits at the intersection of analytics, automation, and AI. You'll design agent-assisted workflows, automate recurring performance analysis, build proactive anomaly detection systems, and create feedback loops that continuously improve how the team diagnoses performance drivers, identifies opportunities, and supports strategic decisions. You'll partner closely with marketing analysts and leadership to translate business questions into automated analytical workflows, leveraging tools like Claude, GPT, SQL, Python, and internal data platforms.

If you're passionate about using AI to make analytics teams more effective, not just faster at doing the same work, this is your opportunity to build the operating model for marketing performance in the age of  this role, you will:

Design, build, and maintain an automation and AI layer for recurring performance workflows including weekly/monthly reporting, anomaly detection, and performance deep dives

Develop agent-assisted analytical workflows that accelerate root-cause diagnosis, surface insights earlier

Partner with performance analysts to translate business questions into reusable, automated frameworks that improve over time through feedback loops

Create clear, actionable outputs (automated commentary, visualizations, structured insights) that reduce manual effort while maintaining analytical rigor and business context

Support performance deep dives with rapid data exploration, segmentation analysis, and diagnostic workflows that combine domain knowledge with technical automation

Continuously refine prompts, agent logic, and analytical outputs based on stakeholder feedback, changing KPIs, algorithm updates, and evolving business questions

Experience and qualifications:

2+ years of experience in a highly analytical role (marketing analytics, data science, business intelligence, marketing automation, or comparable product analytics role)
Bachelor's or Master's with analytical focus (Computer Science, Data Science, Mathematics, Economics, Statistics, etc.) or equivalent related professional experience

Proven ability to translate ambiguous business problems into structured, repeatable analytical solutions

Experience with marketing analytics platforms and datasets (Google Analytics, Adobe…
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