Senior Data Scientist- Travel Tech

Role overview Own the analytical relationship with a portfolio of business partners using a travel technology platform. The role turns data about supply, pricing, and performance into clear, recurring reporting and recommendations that help internal teams and partner stakeholders make better decisions. It combines partner-facing communication with hands-on analysis, automation, and selective use of statistical and machine learning methods.

Responsibilities - Work with partner success and commercial colleagues to understand partner questions, present findings, and build trust with partner teams. - Create reusable reporting on supply health, pricing competitiveness, and partner performance across travel categories. - Explore partner and traveler behavior, then translate findings into practical recommendations for business, product, and engineering leaders. - Apply statistical analysis and machine learning where they improve decisions, while using clear metrics when those are more useful. - Build dashboards and self-service reporting so routine questions can be answered without bespoke analysis. - Use AI tools and automated workflows to reduce repetitive analysis and make reporting repeatable; work with product and engineering on future data needs.

Requirements - Degree in a quantitative field or equivalent practical experience. - Strong analytical and problem-solving skills, with experience answering complex questions across multiple domains or product lines. - Ability to explain technical findings clearly to nontechnical, executive, and external audiences, including presenting and responding to questions live. - Advanced SQL skills, experience with a modern data warehouse, and fluency in Python with Pandas or in R for substantial data preparation and analysis. - Regular hands-on use of AI tools for code, SQL, analysis, or documentation, with a considered view of their strengths and limits. - Experience with automated or agent-based workflows, statistical modeling or machine learning, and business reporting tools.

Nice to have Travel, lodging, air, vacation rental, or car rental experience is useful, as is work with marketplaces, B2B platforms, or API distribution. Geographic data experience or external customer analytics, consulting, or solutions work is also a plus.

Benefits and work setup The source describes group insurance coverage, life and disability coverage, a health spending account, telemedicine access, and a retirement savings plan. The position is marked remote.