Senior Data Scientist, EG Advertising

Posted 44 Minutes Ago
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San Jose, CA, USA
Hybrid
161K-299K 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 data science for Expedia Group Advertising, applying statistical analysis, experimentation, machine learning, and analytics to auction optimization, bidding, measurement, and product decisions. Builds scalable models and AI/ML solutions, defines metrics, evaluates performance and risk, communicates insights, and mentors data scientists and engineers while partnering with product, engineering, and business stakeholders.
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, 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.

Skills Required

  • 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 to real-world products or business problems
  • Experience owning data science workstreams or solutions spanning a product area, service, or multiple related business domains
  • Strong programming and analytical skills, including data modeling, statistical inference, experimentation, machine learning, and communicating insights through visualizations or decision-support tools
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products
  • Ability to mentor junior data scientists and balance speed, risk, and analytical rigor
  • Experience with advanced visualization techniques and building scalable dashboards
  • 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 outcomes
  • Ability to shape analytical or machine learning architecture and influence technical decisions across partner teams
  • Strong operational and analytical discipline, including experiment design, metric development, model evaluation, and data-driven prioritization under ambiguity
  • Hands-on experience applying modern AI/ML approaches to production products and assessing methodological tradeoffs and risks
  • Experience working in sophisticated e-commerce marketplaces and with advertising products

What the Team is Saying

Christos Rigas

Expedia Group Compensation & Benefits Highlights

  • Healthcare Strength — Health insurance spans medical, dental, and vision alongside mental-health resources and neurodiversity support, and coverage and affordability are portrayed as a relative strength. Employee assistance programs and flexible spending accounts reinforce the breadth of healthcare support.
  • Parental & Family Support — Paid parental leave for all parents, additional time for the birthing parent, and paid caregiver leave are emphasized. Family-building support for fertility, adoption, and related needs broadens the safety net for different life stages.
  • Wellbeing & Lifestyle Benefits — Travel-centric perks such as an annual wellness/travel stipend and discounts across company brands stand out as distinctive advantages. Access to industry travel networks further enhances the lifestyle value of the package.

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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