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Data Scientist II - Hotels - Remote

Posted Yesterday
Data Analysis
Full Time
Portugal

Overview

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

In Short

  • Join the Data Science/Machine Learning team at Tripadvisor focusing on the Hotels Auction platform.
  • Apply modeling and engineering skills in predictive modeling and auction dynamics.
  • Collaborate with a multidisciplinary team to build ML-powered solutions.
  • Take ownership of projects and identify new opportunities for machine learning.
  • Design and analyze A/B tests.
  • Communicate model outputs to stakeholders.

Requirements

  • PhD in Computer Science, Engineering, Statistics, or related field (or Masters with 2+ years experience).
  • Excellent communication skills for technical and non-technical audiences.
  • Strong foundation in machine learning and statistics.
  • Solid foundation in data structures and algorithms.
  • Proficiency in Python.
  • Experience with sort and recommendation modeling is a plus.
  • Experience working with real-world data preferred.

Benefits

  • Inclusive workplace culture.
  • Opportunities for personal development.
  • Participation in industry conferences.
Tripadvisor logo

Tripadvisor

Tripadvisor, through its subsidiary TheFork, is dedicated to enhancing the dining experience by connecting diners with their favorite restaurants. With a mission to simplify restaurant discovery and booking, TheFork offers innovative tools such as TheFork App and TheFork Manager to empower both diners and restaurateurs. Operating in 11 countries across Europe, TheFork fosters a vibrant, multicultural work environment that emphasizes core values like collaboration, respect, and personal growth. The company is committed to inclusivity and continuous development, ensuring that every team member can thrive both professionally and personally.

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