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Senior Manager, Product Data Science & Analytics

1 month, 3 weeks ago
Poland
Full-time
Lead
Data Scientist
Data Science and Analytics
LLM Machine Learning Python SQL
Apply Now
Tripadvisor

Tripadvisor

Tripadvisor is the world's largest travel guidance platform, offering over a billion reviews and recommendations for hotels, attractions, restaurants, and more. Travelers rely on Tripadvisor to plan their trips, find savings on accommodations, book exp...

Consumer Services
1K-5K
Founded 2000
View All Jobs 14

Description

  • Lead, develop, and grow a team of Product Analysts and Data Scientists.
  • Set goals, plan work, and drive execution against strategic objectives and OKRs.
  • Raise the bar for analytical quality, experimentation rigor, and data science standards.
  • Review and shape high-impact analyses, experimentation design, and advanced modeling work.
  • Partner with Product, Engineering, Marketing, and Commercial leaders to shape priorities and roadmaps.
  • Translate ambiguous business problems into structured analytical and data science work.
  • Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling.
  • Champion best practices in experimentation, causal inference, segmentation, and customer understanding.
  • Build partnerships with Data Platform, Data Engineering, and other central data functions.
  • Hire, coach, and manage performance to strengthen the team’s technical depth and leadership.
  • Remove blockers and improve tooling, processes, and ways of working across Product Data Science.
  • Influence cross-functional stakeholders across multiple product domains to improve decision-making discipline.

Requirements

  • Extensive experience in data science or a similar quantitative role.
  • Proven experience supporting and influencing a product organization.
  • Expert-level proficiency in Python and SQL.
  • Deep hands-on experience with statistical modeling, experimentation, multi-arm bandit methods, and machine learning techniques such as regression, classification, and clustering.
  • Experience defining and operationalizing product and feature-level metrics from scratch.
  • Proven ability to drive strategic impact and lead technical discussions with cross-functional partners.
  • Experience scaling analytics or data science capabilities through automation, self-service tools, or data products.
  • Strong critical thinking and analytical judgment.
  • Outstanding leadership experience mentoring, coaching, and developing analysts or data scientists.
  • Exceptional collaboration and communication skills across all levels.
  • Proven ability to build relationships and drive outcomes across Product, Engineering, Data Platform, and central functions without direct authority.
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or related.
  • Preferred: experience in a high-scale technology, marketplace, e-commerce, or travel technology company.
  • Preferred: prior technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before leadership.
  • Preferred: experience building experimentation platforms, measurement frameworks, self-service capabilities, or data products.
  • Preferred: experience applying AI, LLMs, Agentic AI, or automation to analytics productivity and decision-making.
  • Preferred: experience leading organizational change and raising analytical maturity across teams.

Interested in this position?

Apply directly on the company website

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