Data Scientist II, Vacation Rental Data Analytics

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 global hybrid work setup (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.

Data Scientist II, Vacation Rental Data Analytics

Introduction to the team

Vrbo, part of Expedia Group, is a global leader in vacation rentals, helping travelers book unique stays worldwide. Our data science team plays a critical role in optimizing supply-side strategies, empowering property owners, and driving commercial growth through data-driven insights.

Make an impact!

The Vacation Rental commercial & supply analytics team is at the forefront of transforming how property owners and managers succeed on Vrbo. This role focuses on leveraging advanced analytics and machine learning to enhance supply acquisition, pricing strategies, and marketplace optimisation. As a Data Scientist II, VR Data Analytics, you will lead a team of talented data scientists to develop predictive models, design experiments, and provide strategic insights that directly impact business growth. This is an exciting opportunity to shape data-driven strategies and influence key decisions in a high-impact, high-visibility role.

In this role, you will:

• Develop and deploy machine learning models to optimize supply acquisition, pricing, and marketplace performance.

• Partner with commercial, product, and engineering teams to translate business challenges into data-driven solutions.

• Design and analyze A/B tests and other experiments to measure the effectiveness of supply-side strategies.

• Provide strategic recommendations backed by data insights to senior stakeholders.

• Drive continuous improvement in data infrastructure, reporting, and analytical capabilities.

• Stay ahead of industry trends, applying the latest advancements in data science to Vrbo’s marketplace.

Experience and qualifications:

• 4+ years of experience in data science, analytics, or a related field.

• Strong proficiency in Python/R, SQL, and data visualization tools (Tableau).

• Experience with machine learning techniques, predictive modeling, and statistical analysis.

• Expertise in A/B testing and causal inference methodologies.

• Ability to translate complex data insights into actionable business strategies.

• Strong stakeholder management and communication skills, with experience influencing senior leadership.

• Experience working in marketplace dynamics, e-commerce, or travel technology is a plus.

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

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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.