Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team

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 partner closely with teams across Expedia Group to drive growth and achieve results for our customers and the company.

This role sits within our analytics organization supporting post-booking servicing experiences. The team uses data, experimentation, and analytical thinking to improve traveler outcomes, inform product decisions, and unlock measurable business impact. In this role, you will partner with stakeholders across product, analytics, and leadership to solve complex problems and turn insights into action.

Make an impact!

As a Data Scientist III, Analytics, you will independently lead analytical work that helps shape decisions, improve performance, and scale better customer and business outcomes. You will combine strong technical skills with business judgment to frame problems clearly, build robust analyses, and communicate recommendations to both technical and non-technical audiences.

In this role, you will:

• Lead analytical projects or small workstreams from problem definition through recommendation, delivering data-driven insights that influence product and business decisions

• Extract, combine, and transform data from multiple sources to build reliable datasets for analysis, experimentation, and modeling

• Apply statistical techniques such as regression, analysis of variance, hypothesis testing, and experiment design to solve business problems and evaluate impact

• Use SQL, Python, R, or similar tools to analyze large datasets, develop scalable analytical approaches, and create clear, compelling visualizations

• Partner closely with subject matter experts and stakeholders to refine business questions, align on success measures, and translate findings into practical recommendations

• Contribute to a collaborative analytics culture by documenting your work, sharing reproducible code, and providing guidance and feedback to more junior teammates

Experience and qualifications:

• Bachelor's degree, master's degree, or Ph.D. in Mathematics, Statistics, Computer Science, Economics, Engineering, or related technical field; or equivalent related professional experience

• 4+ years of experience in a data analytics role delivering insights and recommendations that drove measurable change or performance improvement across multiple projects

• You have advanced experience using SQL, Python, R, or similar tools for data analysis, data structuring, transformation, and visualization

• You have experience selecting appropriate measurement approaches for different business questions, including pre/post analysis, causal impact, multivariate testing, or bandit-style methods

• You have a strong grounding in statistical concepts and know how to apply methods such as experimentation, regression, and exploratory analysis to business questions

• You have experience communicating analytical findings to stakeholders with different levels of technical expertise and can translate data into a clear, concise story

• You are comfortable working independently, managing priorities, and collaborating across functions to move analytical work forward
  

Preferred qualifications:

• You have experience with large and complex datasets and understand common challenges related to data quality, performance, and scalability

• You have working knowledge of machine learning concepts and approaches, including supervised learning methods such as linear regression, logistic regression, and clustering

• You have experience selecting appropriate measurement approaches for different business questions, including pre/post analysis, causal impact, multivariate testing, or bandit-style methods

• You create effective visualizations that prioritize clarity, accessibility, and audience needs

• You value iterative delivery, reproducibility, and knowledge sharing through documentation, dashboards, and reusable analytical workflows

• You have experience mentoring teammates, providing thoughtful feedback, and helping raise analytical capability across the team

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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 who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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, religion, gender, sexual orientation, national origin, disability or age.