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About the Role

As a senior data science leader on the Expedia Marketing Analytics team, you will design and execute measurement frameworks and experimentation to evaluate marketing effectiveness. Your work will generate insights that directly inform marketing strategy, investment decisions, and performance optimization for Paid Social, Programmatic, and Paid App channels, ensuring marketing investments are guided by robust evidence to drive sustainable growth and maximize return on marketing spend.

Responsibilities

Own measurement strategy and design for marketing effectiveness using advanced data science methodologies (A/B testing, Conversion lift studies, incrementality analysis, attribution models, marketing mix modeling)
Take ambiguous, high-stakes business questions and independently frame them into structured analytical problems, applying creative data science approaches to deliver practical, scalable solutions
Proactively identify measurement gaps and develop solutions before being asked; anticipate and solve complex measurement and data challenges
Build reusable measurement frameworks that improve measurement quality, reduce time-to-insight, and set standards for analytics rigor across the organization
Generate strategic insights through deep-dive analyses using SQL, Python, and Tableau to uncover growth opportunities and quantify incremental value of marketing investments
Translate complex findings into clear, compelling narratives for C-suite and senior leadership to guide multi-million dollar budget decisions
Drive cross-functional partnerships across marketing, finance, engineering, and data teams to implement measurement frameworks and ensure adoption
Influence stakeholders at all levels to adopt data-driven decision-making and shape how the organisation measures marketing ROI among channel managers, advertising partners, senior leadership, finance, and data engineers.
Promote measurement best practices and establish standards within the organization; stay current with industry advancements in experimentation, attribution, and measurement
Mentor and raise the bar for analytics capabilities within the team and contribute to advancing the analytics discipline
Operate with independence and ownership: take initiative on ambiguous problems, drive solutions to completion, and demonstrate strategic judgment in prioritizing high-impact work

Requirements

Relevant degree in a quantitative discipline (Mathematics, Data Science, Engineering, Statistics, or related field) OR minimum 3+ years of experience in analytics, data science, or a related analytical role
Experienced in measuring marketing effectiveness and channel ROI such as incrementality testing, marketing mix modeling (MMM), cleanroom, or other marketing measurement method or frameworks
Demonstrated capability to independently frame ambiguous business problems into data science solutions within marketing analytics and drive end-to-end processes from data extraction to insight implementation
Strong proficiency in SQL, Python, and Tableau for data extraction, analysis, modelling, and visualisation.
Hands-on expertise applying statistical methods and experimentation techniques, including A/B testing, user-level testing, and causal analysis
Ability to design and implement scalable analytical solutions across complex, multi-channel environments
Excellent project management and cross-functional collaboration skills with ability to influence senior or cross-functional decision-makers
Strong problem-solving ability in dynamic, ambiguous environments with capability to operate independently and drive initiatives to completion
Strategic mindset with ability to connect data insights to business outcomes and guide multi-million dollar investment decisions
Prior experience working with paid social, programmatic, and paid app marketing channels and measurement frameworks

Skills

SQL
Python
Tableau
A/B testing
Conversion lift studies
Incrementality analysis
Attribution models
Marketing mix modeling (MMM)
Experimentation techniques
User-level testing
Causal analysis
Project management
Cross-functional collaboration
Problem-solving
Strategic thinking

Location

Seattle

Work Type

Full-time

Experience Level

3+ years of experience in analytics, data science, or a related analytical role
Senior data science leader

Education Level

Relevant degree in a quantitative discipline (Mathematics, Data Science, Engineering, Statistics, or related field)

Salary/Compensations

$137,500.00 - $192,500.00
Potential to increase pay up to $220,000.00 based on performance

Benefits

Medical, dental, and vision coverage
Paid time off
Employee Assistance Program
Wellness and travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
We are 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.
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.

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.