Data Scientist for Performance Marketing

Há 7 dias


Lisboa, Lisboa, Portugal Tripadvisor Tempo inteiro
Company Overview:
Tripadvisor is the web's leading travel information site. Our 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, including recommenders, online advertising, vision, text processing, and natural language processing.

About the Role:
We are looking for an experienced individual to join our dynamic and fast-paced team to help support our Performance Marketing efforts. As a Senior Data Scientist/Machine Learning 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. 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.

Your 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.

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.


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