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Tripadvisor

Principal Product Data Scientist

Tripadvisor

. Lead and define the Data Science strategy for Product .

Posted 11/2/2026full-timeRemote • PolandLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Science strategy, statistical modeling, and machine learning techniques, with a strong ability to mentor teams and communicate complex insights across cross-functional partners. Proven track record in driving product strategy and scaling analytics capabilities through automation and self-service tools.

Highest-signal resume keywords
Expert Level Proficiency In PythonExpert Level Proficiency In SQLStatistical Modeling And Machine Learning TechniquesExperience Mentoring And Coaching TeamsExperience Scaling Analytics Capabilities

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical ModelingMachine LearningRegressionClassificationClusteringCausal InferenceUplift ModelingData Product DevelopmentAutomationData Analysis
Soft Skills
CollaborationCommunicationCritical ThinkingMentoringCoaching
Tools & Technologies
AI TechnologiesAgentic AINLPLarge Language ModelsSelf-Service ToolsData Science ToolingData PlatformsData FrameworksAutomated ProcessesPrototyping
Industry Keywords
E-CommerceTravel TechnologyTwo-Sided MarketplaceQuantitative AnalysisProduct Roadmap Optimization

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead and define the Data Science strategy for Product
  • Advise senior Product and Engineering leadership on data-driven decision-making
  • Drive development and adoption of scalable, automated, and reproducible data science tooling, platforms, and frameworks
  • Explore and integrate emerging AI technologies such as Agentic AI and AI Agents from proof of concept to production
  • Champion experimentation, causal inference, and uplift modeling best practices
  • Own complex, high-profile analytical projects and translate ambiguous questions into actionable recommendations
  • Mentor, coach, and develop Data Scientists and Analysts
  • Scale impact through automation, self-service, and democratization of data science capabilities
  • Develop customer segmentation and predictive models to optimize the product roadmap
  • Communicate complex analytical and technical concepts across Product, Engineering, Design, and Commercial teams

Requirements

What you’ll need
  • Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
  • Expert Level proficiency in Python and SQL
  • Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques including Regression, Classification, and Clustering
  • Ability to define, implement, and operationalize product and feature-level metrics from scratch
  • Proven track record of driving strategic impact, leading technical discussions, driving product strategy, and communicating complex insights to cross-functional partners
  • Experience scaling analytics capabilities through automated processes, self-service tools, or data products
  • Critical-thinking experience involving rational, skeptical, and unbiased analysis and evaluation
  • Experience mentoring, coaching, and developing teams of analysts or data scientists
  • Exceptional collaboration and communication skills with cross-functional partners at all levels
  • 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 such as surveys or user research
  • Demonstrated experience with applied AI, including NLP, Large Language Models (LLMs), or Agentic AI for analytics
  • Experience working within a two-sided marketplace, e-commerce, or travel technology industry
  • Master's degree or equivalent relevant programs is an additional preferred qualification

Benefits

Comp & perks
  • Accessible and inclusive experience for all candidates
  • Reasonable accommodation during the application or recruiting process