Senior Data Scientist- Travel Tech

• Own the analytical relationship with a portfolio of HTS partners, working alongside Partner Success and Commercial to understand what they need, deliver it, and present it directly to their teams

• Design and templatize repeatable reporting on supply health, pricing competitiveness and tenant performance that scales across hotels, flights, homes and cars without being rebuilt each time

• Use AI assistants, agents and code generation tools as everyday collaborators to automate the repetitive parts of analysis and reporting, and help the broader team adopt the same practices

• Frame and run exploratory analyses that deepen our understanding of partner and traveler behavior, and translate what you find into clear recommendations for product, engineering and business leaders

• Apply machine learning and statistical methods to large, messy datasets where they move the needle, and recognize when a simple, well explained metric is the better answer

• Build dashboards and self serve reporting in BigQuery, Looker, Tableau, Amplitude and Google Sheets, with an eye toward making yourself unnecessary for routine questions

• Partner closely with product and engineering so the data we collect supports the questions our partners will ask next

• A degree in Math, Statistics, Computer Science, Engineering, Economics or another quantitative discipline, or equivalent practical experience

• Extremely strong analytical and problem solving skills, with a track record of answering hard questions with data across more than one domain or product line

• A proven ability to turn complex technical work into simple, credible narratives for non technical and executive audiences, including external partners

• Comfort being partner facing, presenting findings, fielding tough questions live and building trust with commercial counterparts

• Deep SQL skills and experience with modern data warehouses such as BigQuery, plus fluency in Python and Pandas or R for large scale data preparation and analysis

• Hands on, daily use of LLM based tools such as Claude, ChatGPT, Cursor or Copilot for writing code, SQL, analysis and documentation, and a point of view on where they help and where they fall short

• Experience building or deploying automated and agentic workflows, from scheduled pipelines to LLM driven report generation and prompt or skill libraries, that turn one off analyses into repeatable products

• Experience with data mining, machine learning and statistical modeling, and the judgment to know when to reach for them

• Experience with business reporting and experimentation tools such as Tableau, Looker or Amplitude

• A strong bias toward simplifying, templatizing and shipping over polishing

• Travel industry experience in lodging, air, vacation rentals or car rental, or in a marketplace, B2B platform or API distribution business, is a plus

• Experience with geographic data in search, filtering or recommendation, or working with external customers in a consulting, solutions or customer analytics capacity, is a plus

• Billions of dollars in travel and travel fintech move through Hopper and HTS every year.

• Our fintech products, including Cancel for Any Reason and Disruption Assistance for Any Reason, post exceptionally strong customer satisfaction because the terms are clear and resolutions are instant, no questions asked.

• Nearly 30% of app customers add a fintech product to their booking, and those customers are 1.6x more likely to book with us again.

• HTS now drives more than 90% of the business, proof of how fast B2B has scaled.

• Through HTS, any travel provider (airlines, hotels, banks, travel agencies) can plug the company's fintech, commerce and AI solutions into their own channels, whether that's a single integration or a full end-to-end travel portal.

Come take off with us!

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