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Data Scientist II - Hotels

Tripadvisor

Full-time
Portugal
python
machine learning
data science
computer science
statistics
Apply for this position

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.

 

We are looking for an experienced scientist to join our Data Science/Machine Learning team, focusing primarily on our Hotels Auction platform. Our Hotels business is one of the main online resources for travelers researching where to stay on their next trip, and the auction platform is a key component of the technology we use to connect those travelers with hotel operators and online travel agencies (OTAs). As a Data Scientist working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, but with a particular focus on predictive modeling and auction dynamics. In this role, you will deploy your solutions online and be able to observe the impact of your work through continuous testing and iteration. In your day to day, you will collaborate with a broad multidisciplinary team, including other ML scientists, analysts, product managers, engineers, and partner facing teams to build ML powered solutions that help us understand how our partners value different hotels, and how different types of travelers prefer different types of hotels. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business.

 

About Machine Learning at Tripadvisor

Tripadvisor is the web's leading travel information site. At Tripadvisor, the ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

What you will be doing

  • Participate in the design and deployment of machine learning models to solve a variety of core business problems across the Experiences business.

  • Seek out new opportunities to apply data science and machine learning in the Experiences space.

  • Prototype, evaluate, deploy and maintain new models in production

  • Design A/B tests and analyze their results

  • Communicate progress and interpretation of model output/performance to technical and business stakeholders

  • Participate in the determination of next steps for each project

 

What You Are Like:

  • Team player

  • Loves to learn

  • Great communicator

  • Gets things done on time and on specification

 

Qualifications:

  • PhD in Computer Science, Engineering, Statistics, or related quantitative field (or Masters with 2+ years of practical experience).

  • Excellent communication skills for both technical and non-technical audiences.

  • Strong foundation in machine learning and statistics.

  • Solid foundation on data structures and algorithms.

  • Proficiency in Python.

  • Experience with sort and recommendation modeling a plus.

  • Experience working with real-world data strongly preferred.

  • Previous industry experience a plus.

 

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

 

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About the job

Full-time
Portugal
10 Applicants
Posted 2 weeks ago
python
machine learning
data science
computer science
statistics

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Data Scientist II - Hotels

Tripadvisor

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.

 

We are looking for an experienced scientist to join our Data Science/Machine Learning team, focusing primarily on our Hotels Auction platform. Our Hotels business is one of the main online resources for travelers researching where to stay on their next trip, and the auction platform is a key component of the technology we use to connect those travelers with hotel operators and online travel agencies (OTAs). As a Data Scientist working in this space, you will have the opportunity to apply your modeling and engineering skills to a number of different areas, but with a particular focus on predictive modeling and auction dynamics. In this role, you will deploy your solutions online and be able to observe the impact of your work through continuous testing and iteration. In your day to day, you will collaborate with a broad multidisciplinary team, including other ML scientists, analysts, product managers, engineers, and partner facing teams to build ML powered solutions that help us understand how our partners value different hotels, and how different types of travelers prefer different types of hotels. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business.

 

About Machine Learning at Tripadvisor

Tripadvisor is the web's leading travel information site. At Tripadvisor, the ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, and natural language processing. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

What you will be doing

  • Participate in the design and deployment of machine learning models to solve a variety of core business problems across the Experiences business.

  • Seek out new opportunities to apply data science and machine learning in the Experiences space.

  • Prototype, evaluate, deploy and maintain new models in production

  • Design A/B tests and analyze their results

  • Communicate progress and interpretation of model output/performance to technical and business stakeholders

  • Participate in the determination of next steps for each project

 

What You Are Like:

  • Team player

  • Loves to learn

  • Great communicator

  • Gets things done on time and on specification

 

Qualifications:

  • PhD in Computer Science, Engineering, Statistics, or related quantitative field (or Masters with 2+ years of practical experience).

  • Excellent communication skills for both technical and non-technical audiences.

  • Strong foundation in machine learning and statistics.

  • Solid foundation on data structures and algorithms.

  • Proficiency in Python.

  • Experience with sort and recommendation modeling a plus.

  • Experience working with real-world data strongly preferred.

  • Previous industry experience a plus.

 

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

 

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