• India - Bangalore

• Technology

• Full-Time Regular

• 11/19/2025

• ID # R-99020

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.

About the Team

The Traveler Business Team drives growth for our global consumer brands—Expedia, Hotels.com, and Vrbo—by setting strategic vision, operating plans, and leading cross-functional initiatives. Our Corporate Functions support Expedia Group through Finance, Legal, Risk, and more. As part of the Product Analytics team, you’ll work on high-impact areas such as Search, Property Experience, Offers, and Fraud & Risk.

What You’ll Do

• Design and execute complex experiments using statistical methods (e.g., A/B testing, casual inference, regression, multivariate analysis).

• Apply supervised and unsupervised learning techniques to uncover insights and detect patterns.

• Frame business problems as analytical tasks and deliver actionable insights.

• Collaborate cross-functionally with Product, Engineering, Risk, and Operations teams.

• Build scalable analytics pipelines and automate repeatable tasks.

• Create clear, engaging presentations and dashboards for technical and non-technical audiences.

• Mentor junior team members and contribute to a culture of learning and collaboration.

• Leverage AI tools and emerging technologies to accelerate insight generation.

Who You Are

• Bachelor’s or Master’s in Mathematics, Statistics, Computer Science, or related field with 4+ years of work experience in data science or analytics roles, preferably in travel, e-commerce or fraud/risk domains.

• Proficient in SQL, Python, and/or R; familiarity with machine learning libraries and visualization tools (e.g., Plotly, Seaborn, ggplot).

• Strong business acumen and domain knowledge.

• Skilled in storytelling, stakeholder management, and driving data-informed decisions.

• Demonstrated ability to lead projects and influence outcomes across teams.

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.