Machine Learning Scientist

Requirements:

  • 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

Nice to Haves:

  • Team player
  • Loves to learn
  • 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

What You'll be Doing:

  • 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

Perks and Benefits:

  • 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 AccessibleRecruiting@tripadvisor.com
  • If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com
  • We have all the answers!
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