
1001 - 5000 employees
Founded 2000
🏨 Hospitality
📦 Logistics
📣 Marketing
💰 $300M Post-IPO Equity on 2021-03
Hospitality • Logistics • Marketing
Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.
🕒 June 3
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 55%
Where this job comes from
Posted on Tripadvisor's careers page, not through a job board
First seen by Remote Rocketship June 3

1001 - 5000 employees
Founded 2000
🏨 Hospitality
📦 Logistics
📣 Marketing
💰 $300M Post-IPO Equity on 2021-03
Hospitality • Logistics • Marketing
Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.
• Lead the development of Data Science within Product, producing statistical models that impact product and customer-experience insights and recommendations • Scale the Product Analytics team’s impact through automation, self-service model capabilities, improved experimentation velocity, and efficiency • Architect and implement predictive, classification, clustering, and other statistical models for personalization and recommendations • Explore new tooling, products, and approaches including Agentic AI and AI Agents, develop proofs of concept, and drive adoption • Partner with Product Managers, Designers, and Engineers to identify high-impact customer and product opportunities • Design and analyze complex A/B tests, causal inference models, and uplift modeling • Mentor product analysts in experimentation, modeling, and data-driven product development • Define the roadmap for Product Data Science • Communicate complex data insights to technical and non-technical stakeholders
• Significant experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization • Advanced proficiency in Python and SQL • Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques including regression, classification, and clustering • Ability to define, implement, and operationalize crucial product and feature-level metrics from scratch • Proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional Product, Engineering, and Design teams • Experience scaling impact through automated processes, self-service tools, or data products • Experience applying rational, skeptical, and unbiased analysis and evaluation • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• Accessible and inclusive experience for all candidates • Reasonable accommodation during the application or recruiting process
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