Senior Data Scientist - Customer Data Platform

Posted Yesterday
Seattle, WA, USA
Hybrid
185K-295K Annually
Senior level
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Leads advanced analytics and data science for Expedia’s Customer Data Platform. Partners with product, engineering, analytics, and business stakeholders to frame problems, establish KPIs, analyze complex datasets, develop scalable analytical solutions, and translate findings into recommendations. Mentors team members and improves analytical standards, experimentation, governance, and data-informed decision-making.
Summary Generated by Built In

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 - Customer Data Platform

As a Senior Data Scientist, you will help shape what the team builds by identifying the right questions, structuring the analysis needed to answer them, and translating findings into practical recommendations. This role is especially well suited for someone who thrives in highly cross-functional environments and enjoys bringing clarity, structure, and measurable impact to complex spaces.

In this role, you will:

  • Partner with product, engineering, analytics, and business stakeholders to frame ambiguous opportunities, define success measures, and shape high-value problem statements before solutions are built

  • Lead high-impact analysis that uncovers trends, diagnoses root causes, and generates actionable insight to improve product, operational, or customer outcomes

  • Design and maintain robust measurement approaches, KPI frameworks, and governance practices that improve decision quality and create alignment across stakeholders

  • Translate large, complex, and sometimes messy datasets into clear narratives, recommendations, and tradeoffs that influence prioritization and investment decisions

  • Build scalable analytical assets, methodologies, or data science solutions that can be used repeatedly across the team or domain

  • Mentor other team members by raising the bar on analytical thinking, structured problem solving, and data-informed decision making

Experience & Qualifications:

  • You have a bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, or related technical field; or Equivalent related professional experience

  • You have 8+ years of relevant professional experience

  • You have substantial experience applying advanced analytics, experimentation, statistical methods, and data storytelling to business or product problems

  • You have experience structuring complex business issues and partnering cross-functionally to turn them into scalable analytical or data science solutions

  • You are proficient in SQL and at least one analytical programming language such as Python or R, and you are comfortable working with large-scale structured and semi-structured data

  • You are effective at communicating insight, tradeoffs, and recommendations to technical and non-technical stakeholders

Preferred qualifications

  • You have experience operating in a product, platform, marketplace, or customer-focused technology environment

  • You have built or influenced KPI frameworks, decision models, or governance mechanisms that improved prioritization and execution

  • You have experience mentoring other analysts or data scientists and contributing to stronger analytical standards across a team or domain

  • You have worked with experimentation, causal inference, forecasting, segmentation, or other methods used to support strategic product and business decisions

  • You are comfortable working autonomously in fast-moving environments and can move from open-ended question to clear recommendation with limited direction

Location

Please note that this role is only available in the following locations: Seattle or Austin, in alignment with our flexible work model which requires employees to be in-office at least three days a week.

#LI-MC1

The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, 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.

Skills Required

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, Data Science, or a related technical field, or equivalent professional experience
  • 8+ years of relevant professional experience
  • Substantial experience applying advanced analytics, experimentation, statistical methods, and data storytelling to business or product problems
  • Experience structuring complex business issues and partnering cross-functionally to create scalable analytical or data science solutions
  • Proficiency in SQL and at least one analytical programming language, such as Python or R
  • Comfort working with large-scale structured and semi-structured data
  • Ability to communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders
  • Experience in a product, platform, marketplace, or customer-focused technology environment
  • Experience building or influencing KPI frameworks, decision models, or governance mechanisms
  • Experience mentoring analysts or data scientists and strengthening analytical standards
  • Experience with experimentation, causal inference, forecasting, segmentation, or similar methods
  • Ability to work autonomously in fast-moving environments

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Wellbeing & Lifestyle Benefits — Travel-aligned perks such as employee travel discounts and an annual travel/wellness reimbursement stand out as distinctive elements of the package. Wellness resources and mental health tools further enhance day-to-day lifestyle value.
  • Healthcare Strength — Medical, dental, and vision coverage are described as comprehensive, with strong support including EAP and mental health offerings. U.S. coverage is frequently highlighted as a particular strength.
  • Parental & Family Support — Paid parental leave is characterized as generous for all parents, with additional time for the birthing parent. Family-building and caregiving resources extend to fertility, adoption, surrogacy, gender-affirming care, and specialized caregiver support.

Expedia Group Insights

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The Company
HQ: Seattle, WA
16,000 Employees
Year Founded: 1996

What We Do

Expedia Group, Inc. 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.

Why Work With Us

Life at Expedia Group starts with the people and is shaped by how we work together. You’ll join a global community of curious teammates from different backgrounds, locations, and disciplines. Day to day, that means sharing ideas, taking ownership, and solving problems together.

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Expedia Group Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
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