Tripadvisor - Machine Learning Scientist
Requirements
• Great communication skills with both technical and non-technical partners • Gets things done on time and on specification • Genuinely 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 you • 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 analysis • Strong background in machine learning and statistics • Solid foundation on data structures and algorithms • Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn) • Ability to interpret and write complex SQL queries • Experience with big data technologies, such as Hive and Spark • Track record of leading the deployment and maintenance of models • Hands-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 [email protected]. • [email protected] • If you have any additional questions about careers at Tripadvisor you can email us at [email protected]. We have all the answers! • [email protected]
Responsibilities
• 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 pipelines • Prototype, evaluate, deploy and maintain new ML models in production • Design AB tests and analyze their results • Discover new ways to analyze and interpret the data • Communicate progress and interpretation of experimental results to technical and business stakeholders
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