Data Scientist II, Vacation Rental Data Analytics
Expedia Group
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
Vrbo, part of Expedia Group, is a global leader in vacation rentals, enabling travelers to discover unique stays around the world. Our data science team plays a pivotal 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 achieve success on Vrbo. This role centers on leveraging advanced analytics and machine learning to enhance supply acquisition, pricing strategies, and marketplace optimization. As a Data Scientist for the Vacation Rental Data Analytics team, you will guide a team of talented data scientists to develop predictive models, design experiments, and deliver strategic insights that directly influence business growth. This high-impact, high-visibility position offers an exciting opportunity to shape data-driven strategies and drive key decisions.
In This Role, You Will:
Develop and implement machine learning models to optimize supply acquisition, pricing, and marketplace performance.
Collaborate with commercial, product, and engineering teams to transform business challenges into data-driven solutions.
Design and analyze A/B tests and other experiments to evaluate the effectiveness of supply-side strategies.
Deliver strategic recommendations supported by data-driven insights to senior stakeholders.
Enhance data infrastructure, reporting, and analytics capabilities to foster continuous improvement.
Stay at the forefront 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.
Proficiency in Python or R, SQL, and data visualization tools (e.g., Tableau).
Expertise in machine learning, predictive modeling, and statistical analysis.
Advanced knowledge of A/B testing and causal inference methodologies.
Ability to distill complex data insights into actionable business strategies.
Strong stakeholder management and communication skills, with a proven track record of influencing senior leadership.
Experience 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.