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.
Tripadvisor is looking for an exceptional individual to join our dynamic and fast paced Data Science Team. As a Machine Learning Scientist, you will apply your modeling and engineering skills to a wide variety of problem spaces including, but not limited to, recommender systems, bidding for online advertising, customer modeling, experimental design, and revenue optimization. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow.
We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you?ll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. 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. Finally, you will also be provided the environment to grow technically and personally into a leader while contributing to the team.
About Data Science at Tripadvisor:
Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates high impact 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!
What You Will Be Doing: