Senior Product Data Scientist

The Tripadvisor Group connects people to experiences worth sharing and aims to be the world’s most trusted source for travel and experiences. It includes subsidiaries such as Tripadvisor, Viator, and TheFork, operating in the travel technology industry.

• Extensive experience in data science or a similar quantitative role supporting product organizations.
• Expert-level proficiency in Python and SQL.
• Deep hands-on experience with statistical modeling, experimentation, multi-arm bandit, and various machine learning techniques (Regression, Classification, Clustering).
• Ability to define, implement, and operationalize product and feature-level metrics.
• Proven track record of strategic influence and leading technical discussions.
• Experience scaling analytics capabilities through automation and self-service tools.
• Strong critical thinking skills.
• Outstanding leadership skills with experience mentoring teams.
• Exceptional collaboration and communication skills.
• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related quantitative field.

Nice to have:

• Advanced programming skills for building simulations and prototyping data products.
• Experience validating quantitative findings with qualitative methods.
• Experience with applied AI such as NLP, Large Language Models, or Agentic AI.
• Experience in two-sided marketplaces, e-commerce, or travel technology.
• Master's degree or equivalent relevant programs.

• Lead and define the Data Science strategy for Product, focusing on advanced analytics, data science, and AI methodologies.
• Serve as a strategic advisor to senior Product and Engineering leadership to embed data-driven decision making.
• Drive development and adoption of next-generation data science tooling, platforms, and frameworks emphasizing automation, scalability, and reproducibility.
• Spearhead exploration and integration of emerging AI technologies, including Agentic AI and AI Agents.
• Champion best practices in experimentation, causal inference, and uplift modeling.
• Own complex analytical projects, translating ambiguous questions into actionable recommendations.
• Mentor, coach, and develop Data Scientists and Analysts.
• Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities.
• Develop customer segmentation and predictive models to inform and optimize the product roadmap.
• Communicate complex analytical and technical concepts to diverse audiences and influence stakeholders across teams.

We strive to create an accessible and inclusive experience for all candidates and provide reasonable accommodations during the application or recruiting process upon request.