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Product Data Scientist

1 month ago
Poland
Full-time
Mid Level
Product Analyst
Data Science and Analytics
LLM Looker NLP Python SQL Tableau
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 13

Description

  • Design and analyze A/B tests to support product decision-making.
  • Champion experimentation best practices, including power calculations, guardrail metrics, and multiple testing corrections.
  • Develop and apply causal inference and advanced experimentation methods to non-randomized questions.
  • Own the measurement framework for a product area, including metric definition and instrumentation.
  • Conduct exploratory analyses and deep dives to inform product decisions.
  • Build scalable datasets, metrics, dashboards, and reporting frameworks for self-service use.
  • Translate analytical outputs into actionable product recommendations.
  • Partner with product managers and engineers to define the right data questions.
  • Communicate analyses clearly to non-technical stakeholders.
  • Provide rigorous, unbiased analysis and challenge unsupported hypotheses when needed.

Requirements

  • Several years of experience in a data science, analytics, or quantitative research role at a data-driven organization.
  • Advanced SQL skills and experience querying and manipulating large datasets.
  • Proficiency with data visualization tools such as Tableau or Looker.
  • Experience with the full A/B testing process, from test design to results interpretation.
  • Some proficiency in Python for analysis, experimentation, and exploratory modeling.
  • A track record of using data insights to influence product or business decisions.
  • Comfort with ambiguity and the ability to define questions independently.
  • A growth mindset and willingness to upskill in advanced analytics methods.
  • Exposure to advanced statistical methods and causal inference techniques such as propensity scoring, synthetic controls, difference-in-differences, or Bayesian approaches (nice to have).
  • Familiarity with LLMs or NLP tooling for analytics use cases (nice to have).
  • Experience in travel or e-commerce, especially two-sided marketplace dynamics, geo-based demand variation, or supplier/consumer trade-offs (nice to have).

Benefits

  • Remote work is indicated for this role (#LI-Remote).

Interested in this position?

Apply directly on the company website

Apply Now

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