Location
London

Hours
Full Time

Salary
Negotiable

About the Role
As a Principal Product Data Scientist at Tripadvisor, you will be the senior technical leader within the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role requires a blend of deep technical expertise and strong collaborative leadership, influencing senior stakeholders across Product, Engineering, Design, and Commercial teams. You will lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies to build exceptional products and enhance customer experiences. Key responsibilities include driving next-generation data science tooling and platforms focused on automation and scalability, exploring emerging AI technologies such as Agentic AI, championing best practices in experimentation and causal inference, and owning complex analytical projects that deliver commercial and customer value. Additionally, you will mentor and develop data scientists and analysts, foster a culture of critical thinking and continuous learning, and lead initiatives to scale impact through automation and democratization of data science capabilities.

Experience
Extensive experience in data science or a similar quantitative role with a proven track record of supporting and influencing product organizations. Demonstrated ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners.

About you
Exceptional leadership skills with experience mentoring and coaching teams. Strong collaboration and communication abilities to engage and inspire stakeholders at all levels. Critical thinker with the ability to analyze facts, evidence, and arguments to form rational, unbiased judgments. Proactive and strategic mindset with experience scaling analytics capabilities through automation and self-service tools.

Qualifications
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Advanced programming skills in Python and SQL. Deep hands-on experience with statistical modeling, experimentation, multi-arm bandit, and a wide range of machine learning techniques including regression, classification, and clustering.

Additional Preferred Qualifications
- Advanced programming background with ability to build simulations and prototype data products.
- Experience validating quantitative findings with qualitative methods such as surveys or user research.
- Demonstrated experience with applied AI technologies including NLP, Large Language Models (LLMs), or Agentic AI.
- Experience working within two-sided marketplaces, e-commerce, or travel technology industries.
- Master's degree or equivalent relevant programs.