Senior Data Scientist

Summary

Join Tripadvisor's Data Science/Machine Learning Team as a Senior Data Scientist/Machine Learning Scientist to contribute to Performance Marketing efforts. You will leverage your modeling skills to tackle various challenges, including online advertising bidding, customer modeling, and revenue optimization. This role involves deploying solutions, observing real-time impact, and collaborating with a multidisciplinary team. The position offers access to cutting-edge tools, large datasets, and opportunities for professional development. The location is flexible, offering office, hybrid, or remote options within Portugal. You will be encouraged to take ownership of projects and identify new applications of machine learning to enhance the business.

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

Benefits

• Remote work, flexible hours
• Professional development opportunities