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Expedia, Inc.

Senior Data Scientist, EG Advertising

WA, United States
IL, United States
CA, United States

Apply on expedia.wd108.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Apply by: Nov 27, 2026
Experience: 5+ years of professional experience applying data science, statistical analysis, experimentation, and machine learning methods to real-world products or business problems.
Posting language: English
Posted: Nov 11, 2026

Original job description

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.

Senior Data Scientist, EG Advertising

The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our focus on customer-centric innovation enables us to develop products that build loyalty and repeat business.

We're looking for a senior-level Data Scientist to provide deep analytics and decision support to the EG Advertising division to drive growth and achieve results for our travelers and partners.

In this role, you will partner closely with teams across Expedia Group and contribute to many aspects of product development, including auction optimisation, bidding mechanisms, measurement and incrementality.

In this role, you will:

Apply advanced statistical, analytical, and machine learning techniques to solve complex business and product problems, translating findings into measurable outcomes.
Design, build, and validate data models, experiments, and analytical solutions that inform product strategy, customer experiences, and operational decisions.
Partner with product, engineering, and business stakeholders to frame ambiguous problems, define success measures, and communicate actionable insights.
Develop scalable data science solutions across relevant domains, demonstrating technical fungibility and applying expertise to a range of products, services, and business challenges.
Safely integrate and operate AI/ML-enabled solutions that improve outcomes, while evaluating model performance, limitations, risks, and ongoing effectiveness.
Influence technical direction through rigorous analysis, data-driven decision making, and clear communication of complex concepts to both technical and non-technical audiences.
Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning.
Co‑own with Product and business leaders the metric frameworks and decision workflows for your area

Minimum Qualifications:

Bachelor’s degree in data science, computer science, statistics, mathematics, engineering, economics, or a related quantitative field.
5+ years of professional experience applying data science, statistical analysis, experimentation, and machine learning methods to real-world products or business problems.
Experience owning data science workstreams or solutions that span a product area, service, or multiple related business domains.
Strong programming and analytical skills, including experience with data modeling, statistical inference, experimentation, machine learning, and communicating insights through effective visualizations or other decision-support tools.
Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor
You have experience with advanced visualization techniques / best practices, and building scalable dashboards

Preferred Qualifications:

Master’s or doctoral degree in a quantitative discipline, or equivalent depth of applied data science experience.
Experience operating data science or machine learning solutions at scale, including monitoring performance, improving reliability, and translating model outputs into measurable product or business outcomes.
Demonstrated ability to shape analytical or machine learning architecture within a product, domain, or multi-service scope and to influence technical decisions across partner teams.
Strong operational and analytical discipline, including experiment design, metric development, model evaluation, and using data to guide prioritization under ambiguity.
Hands-on experience applying modern AI/ML approaches to production products, with the judgment to select appropriate methods, assess tradeoffs, and safely improve outcomes.
You have experience working in sophisticated e-commerce marketplaces and with advertising products

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Chicago is $161,000.00 to $225,500.00. Employees in this role have the potential to increase their pay up to $257,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, 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.

Apply on expedia.wd108.myworkdayjobs.com About employer

More about this job

Skills

Machine learning
Data models
ML
Decision making
Communication skills
Computer science
Statistics
Analytical skills
Data modelling
Prioritization

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Work requirements

Jobs in the United States