Data Scientist II - Advertising Analytics

Posted 15 Minutes Ago
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London, Greater London, England, GBR
Hybrid
112K-179K Annually
Junior
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Helping travelers explore the world. One journey at a time.
The Role
Analyze advertising and product data to uncover opportunities, evaluate features through A/B testing, quantify financial impact, build dashboards and metrics, identify root causes, and provide insights for product roadmaps and go-to-market strategies. The role requires collaboration with Product, Finance, and leadership while applying experimentation, causal inference, economic modeling, and machine learning techniques.
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.

Data Scientist II - Advertising Analytics


At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you’ll love being part of Expedia Group Advertising's Yield & Analytics (Y&A) team.


We’re looking for an exceptional Data Scientist II - Advertising Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you’ll collaborate closely with product partners to optimize and launch best-in-class onsite advertising solution.


This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do.

In this role, you will:


  • Collaborate with product teams to harness data from diverse sources—uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.
  • Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.
  • Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.
  • Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.
  • Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.

Experience & Qualifications:


  • Bachelor’s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.
  • 2+ years of analytics experience with a focus on product analytics and measurements.
  • Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.
  • Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.
  • Problem-Solving & General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.

Preferred Qualifications:


  • Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.
  • Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.
  • Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.
  • Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning

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.

Skills Required

  • Bachelor's degree or equivalent in Statistics, Mathematics, Economics, Data Science, or a related field
  • 2+ years of analytics experience focused on product analytics and measurement
  • Strong proficiency with SQL, Python, Databricks, AWS, and other big data tools
  • Experience collaborating cross-functionally with Product, Finance, and other departments
  • Strong analytical, problem-solving, and leadership skills
  • Expertise in experimentation, causal inference, and advanced analytics
  • Knowledge of economic modeling, including price elasticity and time series analysis
  • Familiarity with regression, classification, and other multivariate analysis methods
  • Exposure to recommendation systems, multi-armed bandit algorithms, or reinforcement learning

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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