Machine Learning Scientist- Mid-Level

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.About the roleThe Tripadvisor Group Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Marketing efforts. As an ML II Scientist, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations, life time value. 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.Tripadvisor Group comprises Tripadvisor, the world's leading travel information site, and Viator, the leading marketplace for travel experiences.. 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. 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'll do: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. Use machine learning models to solve a variety of core business problems across marketing.Seek out new opportunities to apply data science and machine learning in the marketing space across all channels (e.g.,paid, organic, search, demand creation, affiliates, CRM…)Automate ETL pipelinesPrototype, evaluate, deploy and maintain new ML models in productionDesign AB tests and analyze their resultsDiscover new ways to analyze and interpret the dataCommunicate progress and interpretation of experimental results to technical and business stakeholdersSkills & Experience:Team playerLoves to learnGreat communication skills with both technical and non-technical partnersGets things done on time and on specificationGenuinely interested in AI — you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to youQualifications:PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)Knowledge of AB test design and analysisStrong background in machine learning and statisticsSolid foundation on data structures and algorithmsProficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)Ability to interpret and write complex SQL queriesExperience with big data technologies, such as Hive and SparkTrack record of leading the deployment and maintenance of modelsHands-on experience with AI-powered tools 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 you have any additional questions about careers at Tripadvisor you can email us at We have all the answers!#LI-Hybrid#LI-SM1