Data Scientist III - Growth Marketing

Expedia•Seattle, WA

58d•Hybrid

About The Position

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 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
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.