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Machine Learning Scientist


Our client's Data Science Team is looking for an exceptional experienced individual to help lead the design and building next generation NLP based systems that model how travellers interact with the various products on the site. Such a model will allow a significant improvement in our ability to offer to travellers the broadest, most relevant travel products (e.g., tell me the most family-friendly summertime activities in Paris). This individual will also have the opportunity to lead other projects on the team, including those related to text and image processing.

Our client is the web's leading travel information site. The Data Science and ML Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas, including recommenders, vision, text processing, and natural language processing. To ensure continued success, our client 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 Will Be Doing:

  • Seek out new opportunities to apply data science and machine learning to the business (e.g., mainly NLP but also some work with personalized recommendations, performance marketing, customer modeling) across all channels (e.g., Web, email, paid marketing)
  • Has experience working with other teams in solving problems and identifying opportunities
  • Lead the design of machine learning models to solve a variety of core business problems in customer acquisition, retention, and reactivation
  • 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
  • Communicate progress and interpretation of experimental results to technical and business stakeholders
  • Lead the determination of next steps for each project.

Qualifications:

  • PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
  • Experience with Natural Language Processing
  • Strong background in machine learning and statistics
  • Solid foundation on data structures and algorithms
  • Strong software engineering skills
  • Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
  • Ability to write complex SQL queries
  • Experience with big data technologies, such as Hive and Spark
  • Knowledge of AB test design and analysis
  • Track record of leading the deployment and maintenance of models
  • 1-2 years of relevant, practical experience.

 

Nice to Haves

  • Experience with Deep learning
  • Experience with online businesses.

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