Data Scientist III - Growth Marketing

Expedia Group • Seattle, WA

3d

About The Position

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. 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.

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
• Proven 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

Nice To Haves

• 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

Responsibilities

• 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 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.

Benefits

• 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
• medical/dental/vision
• paid time off
• Employee Assistance Program
• wellness & travel reimbursement
• travel discounts
• International Airlines Travel Agent (IATAN) membership

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees