Data Scientist II

Expedia Group

Seattle, Washington, United Statesunknown$112,000–$156,500Posted Oct 30, 2026

About the role

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 II

Expedia Group is looking for a Data Scientist II to help improve the post-booking experience for travelers. You will use data analysis, experimentation, and statistical methods to answer product and service questions, understand performance, and help teams make evidence-based decisions. Working with experienced data scientists and cross-functional partners, you will take analytical work from a clearly framed question through findings and recommendations.

In this role you will:

Analyze traveler servicing and service-platform data to identify trends, explain performance changes, and uncover opportunities to improve experiences and operations.

Build and maintain analyses, dashboards, and recurring metrics that help partners understand service health and outcomes.

Support the design and evaluation of experiments, including metric selection, data validation, interpretation, and clear communication of results.

Apply statistical techniques and exploratory analysis to investigate product questions and assess the likely impact of proposed changes.

Use SQL and a programming language such as Python or R to work with data, automate repeatable analyses, and document your methods.

Partner with product, engineering, operations, and analytics teammates to clarify questions, share findings, and help translate insights into next steps.

Present analytical results in a clear, concise way, explaining assumptions, limitations, and implications for non-technical audiences.

Contribute to reliable analytical practices, including data quality checks, reproducible work, and consistent metric definitions.

Experience and Qualifications:

Experience applying analytics, data science, statistics, or a related discipline to business or product questions.

Working proficiency in SQL and Python, R, or a similar analytical programming language.

Foundational knowledge of statistical analysis, hypothesis testing, and experimental design.

Experience exploring datasets, validating results, and communicating findings with charts, dashboards, or written narratives.

Ability to break down a defined problem, manage analytical tasks, and seek feedback when assumptions or requirements are unclear.

Curiosity, attention to detail, and collaborative communication skills.

You have a bachelor's, master's, or Ph.D. degree in a quantitative, scientific, or related technical field; or equivalent related professional experience.

Helpful experience

Three or more years of experience working with e-commerce and/or clickstream data.

Exposure to product analytics, digital experimentation, customer support, travel, self-service, or post-booking customer journeys.

Familiarity with data visualization tools, cloud data platforms, and version-controlled analytical workflows.

Exposure to predictive modeling or machine-learning methods and interest in applying them to customer or operational problems.

Why this role

You’ll help teams improve servicing by turning data into useful insights and stronger decisions. The work supports the team’s focus on rigorous experimentation, understanding end-to-end service-platform health, and applying machine learning to optimize processes and drive business outcomes.

#LI-MC1

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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.

Responsibilities

  • Analyze traveler servicing data to identify trends and opportunities to improve experiences and operations.
  • Build and maintain analyses, dashboards, and recurring service metrics.
  • Support experiment design and evaluation, including metric selection, validation, and interpretation.
  • Apply statistical techniques and exploratory analysis to investigate product questions.
  • Use SQL and Python, R, or similar tools to analyze data and automate repeatable work.
  • Partner with cross-functional teams to clarify questions and translate findings into next steps.
  • Communicate results, assumptions, limitations, and implications to non-technical audiences.
  • Promote data quality, reproducibility, and consistent metric definitions.

Qualifications

  • Experience applying analytics, data science, or statistics to business or product questions.
  • Working proficiency in SQL and Python, R, or a similar analytical programming language.
  • Foundational knowledge of statistical analysis, hypothesis testing, and experimental design.
  • Experience exploring datasets, validating results, and communicating findings.
  • Ability to break down defined problems, manage analytical tasks, and seek feedback.
  • Bachelor's, master's, or Ph.D. in a quantitative, scientific, or related technical field, or equivalent professional experience.
  • Three or more years working with e-commerce and/or clickstream data is helpful.
  • Exposure to product analytics, experimentation, customer support, travel, or post-booking journeys is helpful.

Benefits

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

Skills mentioned

Data ScienceData AnalysisSQLPythonStatistical AnalysisExploratory Data AnalysisData VisualizationBusiness IntelligenceStatistical ModelingMachine Learning

About Expedia Group

Expedia Group, Inc. (NASDAQ: EXPE) is the global travel marketplace with one purpose: to help travelers explore the world, one journey at a time. Expedia Group™ connects travelers, partners, and advertisers through its trusted brands, leading technology, and rich first-party data, delivering predictive, personalized experiences that shape the future of travel. Expedia Group’s ecosystem includes three flagship consumer brands – Expedia®, Hotels.com®, and Vrbo® – the largest B2B travel business, and a premier advertising network. Guided by an experienced and passionate global team, Expedia Group helps millions of travelers in more than 70 countries explore the world with confidence and ease. We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. If you require an accommodation or adjustment for any part of the application or recruitment process, please let us know by completing our Accommodation Request Form or contacting your recruiter. Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident about who they are. We do not send job offers via email, or any other messaging tools, to individuals we have not had prior contact with. Our email domain is @expediagroup.com. Our official careers website, where you can to find and apply for job openings, is careers.expediagroup.com/jobs. If you require customer service support to cancel, change or ask about a refund for your trip, you can connect with our 24/7 Virtual Agent through the following links: Expedia: https://www.expedia.com/helpcenter Hotels.com: https://service.hotels.com/en-us/ Vrbo: https://help.vrbo.com/ For additional assistance, direct message us on Twitter @ExpediaHelp with your itinerary number and email address: https://twitter.com/ExpediaHelp

Software Development10,001+ employeesSeattle, WA