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. 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 careers.expediagroup.com . 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 expedia.service-now.com 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 careers.expediagroup.com . 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.

Requirements

Must-haves

Data Scientist II
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 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
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness