
1001 - 5000 employees
Founded 2000
đš Hospitality
đŠ Logistics
đŁ Marketing
đ° $300M Post-IPO Equity on 2021-03
Hospitality âą Logistics âą 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 Travelersâ 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.
đ„ 54 minutes ago
Where this job comes from
Posted on Tripadvisor's careers page, not through a job board
First seen by Remote Rocketship 54 minutes ago

1001 - 5000 employees
Founded 2000
đš Hospitality
đŠ Logistics
đŁ Marketing
đ° $300M Post-IPO Equity on 2021-03
Hospitality âą Logistics âą 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 Travelersâ 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.
âą Lead and define the Data Science strategy for Product âą Advise senior Product and Engineering leadership on data-driven decision-making âą Drive development and adoption of scalable, automated, and reproducible data science tooling, platforms, and frameworks âą Explore and integrate emerging AI technologies, including Agentic AI and AI Agents, from proof of concept to production âą Champion experimentation, causal inference, and uplift modeling best practices âą Own complex analytical projects and translate ambiguous questions into actionable recommendations âą Mentor, coach, and develop Data Scientists and Analysts âą Scale impact through automation, self-service, and democratization of data science capabilities âą Develop customer segmentation and predictive models to optimize the product roadmap âą Communicate complex analytical and technical concepts to Product, Engineering, Design, and Commercial teams
âą Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization âą Expert-level proficiency in Python and SQL âą Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques including regression, classification, and clustering âą Ability to define, implement, and operationalize product and feature-level metrics from scratch âą Proven track record of driving strategic impact, leading technical discussions, influencing product strategy, and communicating complex insights to cross-functional partners âą Experience scaling analytics capabilities through automated processes, self-service tools, or data products âą Critical-thinking expertise involving rational, skeptical, and unbiased analysis and evaluation âą Outstanding leadership skills, including mentoring, coaching, and developing teams of analysts or data scientists âą Exceptional collaboration and communication skills with cross-functional partners at all levels âą Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field âą Advanced programming background with the ability to build simulations and prototype data products âą Experience validating quantitative findings with qualitative methods such as surveys or user research âą Demonstrated experience with applied AI, including NLP, Large Language Models (LLMs), or Agentic AI for analytics âą Experience in a two-sided marketplace, e-commerce, or travel technology industry is advantageous âą Master's degree or equivalent relevant programs is advantageous
âą Accessible and inclusive experience for all candidates âą Reasonable accommodation during the application or recruiting process
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