Tripadvisor
Senior Product Data Scientist
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Senior Product Data Scientist
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.
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.
About the Role
As our Senior Product Data Scientist, you will be the cornerstone of our advanced analytics capability.
This is more than a technical role; it's a high-impact position designed to shape the future of our product by embedding deep, quantitative intelligence into its core.
You will help set the vision for how data science can solve our most challenging problems.
You will act as a catalyst, mentoring a talented team of product analysts while spearheading the development of models and frameworks that drive our product strategy forward.
What You Will Do
- Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience.
- Use your knowledge and experience to scale the impact of the Product Analytics team through data science. Create automation, self-service model capability, improve experimentation velocity, and drive efficiency.
- Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations.
- Exploration of new tooling, product, and approaches, including Agentic AI and AI Agents, to identify opportunity areas and explore through POCs to drive adoption.
- Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product.
- Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions.
- Guide and mentor other product analysts in best practices for experimentation, modeling, and data-driven product development, upskilling the team and defining the roadmap for Product Data Science.
- Communicate complex data insights to both technical and non-technical stakeholders with clarity and influence.
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Skills & Experience
Required
- Experience: Significant experience in data science or a similar quantitative role, displaying a proven track record of supporting and influencing a product organization.
- Technical & Modeling Expertise:
- Advanced proficiency in Python and SQL.
- Deep, hands-on experience with statistical modeling, (quasi-) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering).
- Product Acumen: Demonstrated ability to define, implement, and operationalize product and feature-level metrics from scratch.
- Strategic Influence: A proactive and collaborative approach with proven ability to:
- Lead technical discussions.
- Drive product strategy.
- Communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams).
- Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products.
- Critical Thinking: Ability to analyze available facts, evidence, observations, and arguments through rational, skeptical, and unbiased analyses and evaluation.
- Education: Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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Nice to Haves
- Advanced programming background with the ability to build simulations and prototype data products.
- Experience validating quantitative findings using qualitative methods (e.g., surveys, user research).
- Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics.
- Deep experience in developing sophisticated customer segmentation models, including predictive LTV modeling.
- Experience working within a two-sided marketplace, e-commerce, or the travel technology industry.
You can learn more about careers at Tripadvisor or request accommodations via the provided details. Remote work is possible! (#LI-Remote #LI-SM1)
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