Data Scientist

About Vogo Vogo 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 downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers the widest selection of accommodations worldwide. Vogo's proprietary technology then scans billions of data points to surface the best deals across millions of properties, streamlining discovery, and booking for every traveler.   Since launching out of Wilbur Labs in 2018, Vogo has rapidly become one of the most trusted travel platforms globally, surpassing $1 billion in gross bookings in just two years. Vogo is headquartered in Dallas and led by a team of travel industry veterans.   About this Role Vogois 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.  Roles and Responsibilities:

Model Development: Design, develop, and implement machine learning models to drive VacationRenter’s sort and search functions, create classification models to predict reservation cancellations, and build predictive models to support pricing strategies

Data Analysis & Feature Engineering: Leverage your business acumen and deep understanding of travel shopping behaviors to identify, engineer, and prioritize the most impactful features that drive model performance

Production Deployment: Collaborate with engineering teams to deploy machine learning models into production, ensuring they perform reliably, scale effectively, and maintain high-quality results

Experimentation & A/B Testing: Design and run controlled experiments to measure and validate the effectiveness and impact of machine learning models

Reporting & Visualization: Develop clear and insightful reports and interactive dashboards to effectively communicate model findings and performance metrics to both technical and non-technical stakeholders

Research & Innovation: Continuously explore and apply the latest advancements in machine learning, AI, and data science to enhance our modeling capabilities and data infrastructure

Minimum Qualifications:

5+ years of professional experience in a Data Scientist or Machine Learning Engineer role,

Expert-level proficiency in Python, including key machine learning libraries

Solid understanding of statistical modeling, experimental design, and data mining techniques

Demonstrated experience owning the full modeling lifecycle, including ETL, data cleansing, feature engineering, model development, deployment, and ongoing maintenance

Experience with SQL and working with large datasets in a cloud environment, particularly GCP, but demonstrated expertise in other platforms can suffice

Strong communication skills, with the ability to explain complex technical concepts to a diverse audience

Preferred Qualifications and Prior Experience:

Experience  developing machine learning models within a GCP environment

Familiarity with MLOps practices and tools for deployment, maintenance, and ongoing improvement of models

Experience in the Travel or Financial Services industry

Benefits & Perks:

Competitive salary + equity

Top-tier laptop provided

100% company-paid health benefits for base plan coverage, with the option to upgrade to higher-tier plans

401(k) with company match

Unlimited, guilt-free vacation days

Annual wellness stipend (gym + other wellness activities)

Monthly house cleaning stipend

Annual travel allowance

Monthly cell phone & internet usage stipend

Charity donation company match

Employee referral bonus

Team offsites/activities!