Senior Machine Learning Scientist

Summary

Join Tripadvisor's Machine Learning Team as a Senior Machine Learning Scientist and contribute to the success of our Performance Marketing efforts. You will leverage your modeling skills to tackle diverse challenges, including online advertising bidding, customer modeling, and revenue optimization. This role offers access to cutting-edge tools, massive datasets, and real-time impact observation. You will collaborate with a multidisciplinary team, take ownership of projects, and identify new opportunities for machine learning applications. The position offers flexibility with office, hybrid, or remote options within Portugal. Tripadvisor fosters a culture of personal development with various opportunities for growth.

Requirements

• PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with at least 4+ 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

Responsibilities

• Use machine learning models to solve a variety of core business problems across performance marketing
• Seek out new opportunities to apply data science and machine learning in the performance marketing space across all channels (e.g., Web, email, paid marketing)
• Automate ETL pipelines
• Prototype, evaluate, deploy and maintain new models in production
• Design AB tests and analyze their results
• Discover new ways to analyze and interpret the data
• Guide/mentor more junior scientists
• Communicate progress and interpretation of experimental results to technical and business stakeholders

Preferred Qualifications

PhD or Masters in Computer Science, Engineering, Statistics, or related field

Benefits

• Remote work, flexible hours
• Professional development opportunities
• Social activities
• Journal clubs
• Memberships in online learning resources
• Participation in industry conferences