Data Scientist

Data Science III – Marketing AnalyticsAt 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.Make an impact!As a senior data science leader, your primary focus is to own measurement strategy and drive business impact by connecting rigorous data science with strategic business decisions. You will work independently on high-impact, ambiguous measurement challenges, taking vague business questions and transforming them into structured analytical solutions that guide multi-million dollar investment decisions. Your work will directly influence executive strategy, shape how the organization measures marketing ROI, and establish best practices for analytics rigor across the company. You will be expected to operate with strategic judgment, drive initiatives to completion with minimal oversight, and elevate the analytics discipline within your organization.In this role, you will: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 solutionsProactively identify measurement gaps and develop solutions before being asked; anticipate and solve complex measurement and data challengesBuild reusable measurement frameworks that improve measurement quality, reduce time-to-insight, and set standards for analytics rigor across the organizationGenerate strategic insights through deep-dive analyses using SQL, Python, and Tableau to uncover growth opportunities and quantify incremental value of marketing investmentsTranslate complex findings into clear, compelling narratives for C-suite and senior leadership to guide multi-million dollar budget decisionsDrive cross-functional partnerships across marketing, finance, engineering, and data teams to implement measurement frameworks and ensure adoptionInfluence 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 measurementMentor and raise the bar for analytics capabilities within the team and contribute to advancing the analytics disciplineOperate with independence and ownership: take initiative on ambiguous problems, drive solutions to completion, and demonstrate strategic judgment in prioritizing high-impact workExperience and qualifications: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 roleExperienced in measuring marketing effectiveness and channel ROI such as incrementality testing, marketing mix modeling (MMM), cleanroom, or other marketing measurement method or frameworksDemonstrated 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 implementationStrong 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 analysisAbility to design and implement scalable analytical solutions across complex, multi-channel environmentsExcellent project management and cross-functional collaboration skills with ability to influence senior or cross-functional decision-makersStrong problem-solving ability in dynamic, ambiguous environments with capability to operate independently and drive initiatives to completionStrategic mindset with ability to connect data insights to business outcomes and guide multi-million dollar investment decisionsPreferred QualificationsPrior experience working with paid social, programmatic, and paid app marketing channels and measurement frameworksThe 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.