About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants and other travel categories. The subsidiaries of Tripadvisor, Inc.

(Nasdaq: TRIP) include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

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.

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: power calculations, guardrail metrics, and multiple testing corrections. , 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. Strategic Analysis Measurement Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle.

’ 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 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.

Nice To Have