Additional Information
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us.
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, Hotels.com, 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 AI.
In 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 Analytics, Tableau, or similar BI tools); organic search (SEO/AEO) knowledge is a strong plus
Results-driven with an operational mindset, focused on building tools and systems that deliver sustained value, not just one-off analyses
Excellent communication and collaboration skills; able to work cross-functionally with analysts, product managers, and business stakeholders to co-design solutions
Self-directed learner who thrives in a fast-paced environment and is comfortable iterating on solutions based on feedback and changing requirements
Strong Skills in SQL and Python; comfortable building automated pipelines and integrating multiple data sources