Tripadvisor
1001 - 5000 employees
Founded 2000
🛍️ eCommerce
💰 $300M Post-IPO Equity on 2021-03
eCommerce • Travel
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.
Senior Product Data Scientist
🕒 Yesterday
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Tripadvisor
1001 - 5000 employees
Founded 2000
🛍️ eCommerce
💰 $300M Post-IPO Equity on 2021-03
eCommerce • Travel
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 the development of Data Science within Product • Use knowledge to help scale the impact of the Product Analytics team through data science • Architect and implement sophisticated statistical models to enhance product features • Explore new tooling and approaches to identify opportunity areas • Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities • Champion experimentation by designing and analyzing complex AB tests • Guide and mentor other product analysts in best practices for experimentation and modeling • Communicate complex data insights to both technical and non-technical stakeholders
🎯 Requirements
• Significant experience in data science or a similar quantitative role • Advanced proficiency in Python and SQL • Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and machine learning techniques • Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. • A proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively. • Experience scaling impact through automated processes, self-service tools, or data products. • Analytical skills to form judgments through rational, skeptical, and unbiased analyses. • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
🏖️ Benefits
• Health insurance • Flexible working hours • Professional development opportunities
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