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Tripadvisor Logo Tripadvisor · IT - Software Development

Product Data Scientist

United Kingdom, London · Job Posted June 10, 2026
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Job Description

About the Role: At Tripadvisor Experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision-making. As a Product Data Scientist, you'll be the analytical backbone of one or more product pods. You'll own measurement and reporting, support experimentation, and surface the insights that drive product decisions — while actively developing your skills in more advanced analytics methods. This is a role for someone with strong foundational data science skills who is energised by the opportunity to grow.

Job Responsibility

  • Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
  • Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
  • Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
  • Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
  • Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
  • for example, using tree-based or regression modeling to identify signals of high LTV
  • Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
  • Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
  • Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
  • Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail
  • Be a champion of unbiased, rigorous analysis — including when the data doesn't support a stakeholder's hypothesis
  • willingness to be the voice of inconvenient truths is a core expectation of this role

Requirements

  • Several years in a data science, analytics, or quantitative research role at a data-driven organization
  • strong product analysts who are actively upskilling in data science methods are encouraged to apply
  • Advanced SQL skills and hands-on experience querying and manipulating large datasets
  • Proficiency with data visualisation tools (Tableau, Looker or equivalent)
  • Experience with the full A/B testing process, from test design to results interpretation
  • Some proficiency in Python for analysis, experimentation and exploratory modeling
  • A track record of using data insights to influence product or business decisions
  • Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
  • A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Nice to have

  • Exposure to more advanced statistical methods and causal inference techniques — e.g. propensity scoring, synthetic controls, difference-in-differences, Bayesian approaches
  • Familiarity with LLMs or NLP tooling for analytics use cases (e.g., content classification, dataset enrichment)
  • Experience in travel or e-commerce
  • understanding of two-sided marketplace dynamics, geo-based demand variation, or supplier/consumer trade-offs
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