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A leading travel technology company is seeking a Data Scientist II to optimize revenue through data analysis and collaboration with various teams. The role requires proficiency in SQL and Python, as well as a degree in Data Science or a related field. This position involves working with C-level leaders and has significant impact on business strategies. Join a diverse team and enjoy comprehensive benefits including travel perks and career development opportunities.
Spain - Madrid | Technology | Full-Time Regular | Expiry: 11/11/2025 | ID # R-99178
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.
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 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.
The online travel market never stands still. Within our B2B team we’re smack in the middle of it! We are an entrepreneurial start‑up operating in the B2B market within the world’s biggest travel company. We build the tools and technology that help millions of travelers find the perfect hotels for their next trips. We are the largest and fastest‑growing travel affiliate network, working with over 10,000 partners in 33 countries to turn their web traffic into hotel bookings and loyal customers.
The Data Scientist II (Revenue Optimization – Strategy) is an exciting role within our B2B Analytics Team. This person will primarily be responsible for collaborating with commercial stakeholders and Machine Learning teams to design Revenue Optimization initiatives that enhance competitiveness and accelerate revenue growth for Expedia’s multi‑billion‑dollar B2B business. Key responsibilities include careful analysis of elasticity curves to understand the implications of Revenue Optimization actions, a deep understanding of the impact that our algorithms have on the business, and translating stakeholders’ needs to technical requirements. This person will work in a small but extremely impactful team, in charge of advising C‑level leaders on Revenue Optimization strategy and tactics.
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 a Best Place to Work on Glassdoor in 2024 and recognized for award‑winning culture by organizations such as 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.