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Expedia

Data Scientist III - Growth Marketing

Salary$138k – $220k
LocationWashington - Seattle Campus
Typefull-time
SeniorityMid
Experience2+ yrs
DepartmentGrowth Marketing
Company size10,000+ people
First seenSep 30, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have6
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 (SQL and Python or R)
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; simplify complexity and influence decisions with clear visuals and narratives
Demonstrated experience delivering data-driven insights that materially improved marketing or business performance
Nice to have5
Graduate degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Computer Science, Econometrics, Operations Research)
Performance/growth marketing understanding and hands-on experience running and interpreting experiments (A/B tests, regression-based analysis, incrementality)
Demonstrated depth in designing and interpreting complex marketing experiments, uplift modeling, or causal inference approaches at scale
Proactive, self-directed working style and a track record of learning new analytical or modeling techniques
Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to build scalable analytics pipelines
Skills
SQL
Python
R
Benefits
Medical
Dental
Vision
Paid time off
Employee assistance program
Wellness reimbursement
Travel reimbursement
Travel discounts
Iatan membership
About the company
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.
Data Scientist III - Growth Marketing
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.
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.
Minimum Qualifications:
•
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
Preferred 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
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.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 to confirm work authorization.
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