Senior Product Data Scientist

The Tripadvisor Group connects people to travel experiences through multiple brands including Tripadvisor, Viator, and TheFork. The company focuses on leveraging technology and data capabilities to enhance travel and experience marketplaces.

• Significant experience in data science or a related quantitative role supporting product organizations.
• Advanced proficiency in Python and SQL.
• Deep experience with statistical modeling, quasi-experimentation, multi-arm bandits, and machine learning techniques including regression, classification, and clustering.
• Ability to define and operationalize product and feature-level metrics.
• Proven ability to lead technical discussions and communicate insights across cross-functional teams.
• Experience scaling impact via automation, self-service tools, or data products.
• Strong critical thinking and analytical judgment.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.

Nice to have:

• Advanced programming skills to build simulations and prototype data products.
• Experience validating quantitative findings with qualitative methods like surveys or user research.
• Experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI.
• Experience developing customer segmentation models including predictive Lifetime Value (LTV) modeling.
• Experience in two-sided marketplaces, e-commerce, or travel technology industry.

• Lead development of Data Science within Product, producing statistical models impacting product insights and recommendations.
• Scale Product Analytics impact through automation, self-service models, and experimentation velocity improvements.
• Architect and implement predictive, classification, and clustering models to enhance features like personalization and recommendations.
• Explore new tooling and approaches including Agentic AI and AI Agents for opportunity identification and adoption.
• Partner with Product Managers, Designers, and Engineers to identify opportunities where data science can solve customer problems.
• Champion experimentation by designing and analyzing complex AB tests, causal inference, and uplift models.
• Mentor product analysts in best practices and define roadmap for Product Data Science.
• Communicate complex data insights clearly to both technical and non-technical stakeholders.

The position is remote as indicated. The employer mentions an accessible and inclusive recruiting experience and provides contact for accommodations.