Data Scientist III - Growth Marketing

About the role

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.

Responsibilities

• Use data, experimentation, and modeling to grow Expedia Group’s brands efficiently and profitably.
• Partner with Marketing, Product, Engineering, and Analytics to excel at turning complex data into clear stories and priorities for action.
• 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, causal 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 product data.
• Create clear engaging presentations and dashboards for technical and non-technical audiences.
• Automate recurring reporting and enable self-serve analytics so partners can independently access trustworthy data and insights.

Requirements

• Bachelor’s degree in a quantitative field with 2–4 years of relevant experience, OR 5+ years in a comparable data analytics or data science role.
• Strong proficiency with statistical analysis and data manipulation tools (such as SQL and a programming language like Python or R), and experience working with complex, high-volume datasets in a production analytics environment.
• Prominent ability to frame business problems as analytical tasks and deliver actionable insights.
• Excellent communication and storytelling skills; you simplify complexity, highlight what matters, and influence decisions with clear visuals and narratives.
• Demonstrated experience delivering data-driven insights and recommendations that materially improved marketing or business performance.

Qualifications

• Graduate degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Computer Science, Econometrics, Operations Research) with a focus on advanced analytics, experimentation, or machine learning.
• Performance/growth marketing understanding and hands-on experience running and interpreting experiments (A/B tests, regression-based analysis, incrementality, etc.).
• Demonstrated depth in designing and interpreting complex marketing experiments, uplift modeling, or causal inference approaches at scale, including for multi-channel or multi-touch attribution and budget optimization.
• Proactive, self-directed working style and a track record of learning and applying new analytical or modeling techniques.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to build scalable analytics pipelines and automate repeatable tasks.

Skills

• Statistical analysis and data manipulation tools (SQL, Python/R).
• Data modeling and analysis.
• Experimentation and measurement frameworks (A/B tests, incrementality, pre/post, causal impact, causal inference, regression, multivariate analysis).
• Model building and dataset creation.
• Data visualization and presentation skills.
• Automation and self-serve analytics.
• AI/ML concepts and scalable analytics pipelines.

Benefits

• Medical, dental, and vision coverage.
• Paid time off.
• Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts.
• IATAN membership.

Pay

The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Schedule

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience.

Benefits and Perks

• Medical, dental, and vision coverage.
• Paid time off.
• Employee Assistance Program.
• Wellness and travel reimbursement.
• Travel discounts.
• IATAN membership.

About 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.