Product Data Scientist

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

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Tripadvisor

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🛍️ eCommerce

💰 $300M Post-IPO Equity on 2021-03

eCommerce • Travel

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 Travelers’ 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.

📋 Description

• 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

• 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

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