Principal Product Data Scientist

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Tripadvisor

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🏨 Hospitality

📦 Logistics

📣 Marketing

💰 $300M Post-IPO Equity on 2021-03

Hospitality • Logistics • Marketing

Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.

📋 Description

• 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

• 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

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

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume