Product Data Scientist

Tripadvisor

Product Data Scientist at Tripadvisor involved in analyzing data and supporting product decisions. Focus on A/B testing, measurement frameworks, and strategic analysis in a remote setup.

Posted 6/9/2026full-timeRemote • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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
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
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations
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

Requirements

What you’ll need

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

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

A/B testingstatistical methodscausal inferencedifference-in-differencespropensity scoringsynthetic controlsSQLdata visualizationPythondata analysis

Soft Skills

decision-makingcommunicationproblem-solvingcollaborationadaptabilitygrowth mindsetcritical thinkingnarrative translationself-service enablementthought partnership