Location
London

Hours
Not specified

Salary
Negotiable

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 role is ideal for someone with strong foundational data science skills who is energised by the opportunity to grow.

What You’ll Do
Experimentation: 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 including power calculations, guardrail metrics, and multiple testing corrections. Develop mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) 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.

Strategic Analysis & Measurement: Own the measurement framework for your product area by defining key metrics, building instrumentation to track them, and surfacing insights that move the needle. Conduct exploratory analyses and deep dives using various data science approaches, such as 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 that inform the next sprint and testing strategies.

Stakeholder Management & Communication: Act as a thought partner with product managers and engineers to ensure the right data questions are being asked. Translate analyses into clear narratives accessible to non-technical audiences, emphasising actionable insights over technical detail. Be a champion of unbiased, rigorous analysis — including when data does not support a stakeholder’s hypothesis; willingness to be the voice of inconvenient truths is a core expectation of this role.

Experience
Several years in a data science, analytics, or quantitative research role at a data-driven organisation. Strong product analysts 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 such as Tableau, Looker, or equivalents. 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.

About you
Comfortable with ambiguity: able to define questions independently and energised by incomplete information rather than paralysed by it. A growth mindset: actively upskilling in advanced analytics methods and always willing to learn new tools and techniques. Strong communication skills to translate complex analyses into clear, actionable insights. Willingness to be the voice of unbiased and rigorous analysis, even when findings challenge stakeholder hypotheses.

Qualifications
Not explicitly stated, but strong foundational data science skills and experience in analytics are essential.

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