Degree in Computer Engineering
A/B Testing, Aartificial intelligence, Algorithms, Apache Hive, Automation, Big Data Technology, Data structuring, Deep Learning, ETL frameworks, ETL/ELT technologies, Fraud Risk, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Snowflake, Spark Core, SQL, Statistics
About Data Science at Tripadvisor
Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas such as recommenders, vision, and text processing - especially with a focus on natural language processing (NLP). 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!
About the Role
The Tripadvisor Data Science Team is looking for an exceptional individual to help design and build next generation systems that models the fairness, reliability and validity of Tripadvisor audiences and content. Such a model will allow significant improvements in our ability to offer to travelers the broadest, most relevant travel products. This individual will also have the opportunity to work on other projects on the team, including those related to text and image processing.
What You Will Be Doing
What you'll get
Highly competitive salary along with the following:
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request.
Tripadvisor, Inc. is an American online travel company that operates a website and mobile app with user-generated content and a comparison shopping website. It also offers online hotel reservations and bookings for transportation, lodging, travel experiences, and restaurants.