Tripadvisor - Senior Product Data Scientist
Requirements
• Experience: Significant experience in data science or a similar quantitative role, with 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). • Technical & Modeling Expertise: • Python and SQL • Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. • Product Acumen: • Strategic Influence: A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design teams). • Strategic Influence: • Scaling Impact: Experience scaling your impact through the creation of automated processes, self-service tools, or data products. • Scaling Impact: • Critical Thinking: Your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. • Critical Thinking: • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. • Advanced programming background with the ability to build simulations and prototype data products. • Experience validating quantitative findings with 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. • We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at [email protected]. • [email protected] • If you have any additional questions about careers at Tripadvisor you can email us at [email protected]. We have all the answers! • [email protected]
Responsibilities
• 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 help scale the impact of the Product Analytics team through data science. Creating 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, explore through POC to then drive to 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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