Data Scientist
About VacationRenter
VacationRenter is a global travel platform that brings all types of accommodations into one place, making it easy for travelers to find the perfect stay.
From private homes and beachfront villas to city apartments and hotels, VacationRenter offers one of the most extensive selections of properties worldwide and simplifies the entire search experience. Behind the scenes, VacationRenter’s technology analyzes millions of listings and billions of data points to surface the best options for every trip.
Launched out of Wilbur Labs in 2018, VacationRenter quickly became one of the fastest growing travel startups ever, surpassing $1 billion in gross bookings in just two years. The company is led by a team of seasoned travel industry leaders.
About This Role
VacationRenter is seeking a hands-on, data-driven Data Scientist to support the next stage of growth. This role will own the Machine Learning models that drive our business from development to deployment. Key responsibilities include improving on sort and search models to help travelers find their perfect accommodation quickly and efficiently, refining predictive and classification models to estimate cancellations and financial outcomes, and developing new models to choose the perfect images and reviews to show to our customers. Your work will directly improve both customer experience and business performance.
The ideal candidate combines top-notch model development and tuning skills with a startup mindset: pragmatic, ownership-driven, and excited to make a measurable impact. This is a strategic, execution-focused role for someone who can drive Machine Learning initiatives end-to-end and deliver results independently.
Success in this role requires more than strong technical skills. Improved models and engineering must translate into better financial and customer outcomes, so strong business judgment is essential. Identifying the right problems to solve is just as important as the modeling itself. This role is positioned to have a direct and meaningful impact on the business.
This role will report directly to the COO. This is a full-time hybrid position, based in Dallas.
About VacationRenter
VacationRenter is a global travel platform that brings all types of accommodations into one place, making it easy for travelers to find the perfect stay.
From private homes and beachfront villas to city apartments and hotels, VacationRenter offers one of the most extensive selections of properties worldwide and simplifies the entire search experience. Behind the scenes, VacationRenter’s technology analyzes millions of listings and billions of data points to surface the best options for every trip.
Launched out of Wilbur Labs in 2018, VacationRenter quickly became one of the fastest growing travel startups ever, surpassing $1 billion in gross bookings in just two years. The company is led by a team of seasoned travel industry leaders.
About This Role
VacationRenter is seeking a hands-on, data-driven Data Scientist to support the next stage of growth. This role will own the Machine Learning models that drive our business from development to deployment. Key responsibilities include improving on sort and search models to help travelers find their perfect accommodation quickly and efficiently, refining predictive and classification models to estimate cancellations and financial outcomes, and developing new models to choose the perfect images and reviews to show to our customers. Your work will directly improve both customer experience and business performance.
The ideal candidate combines top-notch model development and tuning skills with a startup mindset: pragmatic, ownership-driven, and excited to make a measurable impact. This is a strategic, execution-focused role for someone who can drive Machine Learning initiatives end-to-end and deliver results independently.
Success in this role requires more than strong technical skills. Improved models and engineering must translate into better financial and customer outcomes, so strong business judgment is essential. Identifying the right problems to solve is just as important as the modeling itself. This role is positioned to have a direct and meaningful impact on the business.
This role will report directly to the COO. This is a full-time hybrid position, based in Dallas.
