Degree in Computer Engineering
A/B Testing, Algorithms, Apache Hive, Data science techniques, Data structuring, Deep Learning, Image processing, Jupyter Notebook, Keras software library, Kubeflow, Machine learning techniques, MLflow, Python Programming, PyTorch, Scikit-learn, Snowflake, Spark Core, SQL, Statistics, TensorFlow
About the Role
This role is to be based remotely or hybrid in Portugal or UK only.
The Tripadvisor Data Science Team is looking for an exceptional individual to help design and build next generation systems that model how travelers interact with the various products on the site. Such models will allow a significant improvement in our ability to offer to travelers the most tailored and relevant travel products to them (e.g. showing the top family-friendly beachfront properties in Cancun). This individual will have the opportunity to work on deep learning projects across a variety of verticals including hotels, restaurants, experiences, etc. with a strong focus on computer vision, and work on problems including (but not limited to) image understanding, sorting and recommendation, content moderation, etc.
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, including sorting, recommendation, computer vision, natural language processing, etc. 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!
Who you are:
You are an altruistic team player, who gets things done and loves to learn – you thrive on communicating well but are also comfortable working independently across multiple projects.
What you will be doing:
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.