Data Scientist


  1. Understand business objectives and identify opportunities to apply Data Science techniques to achieve business impact
  2. Model and prototype business problems with quantitative methods including statistics, machine learning, etc, with the goal of production deployment
  3. Collaborate with product teams in gathering relevant product information.
  4. Work closely with data engineers to adapt and improve data pipelines for Data Science modeling
  5. Work closely with machine learning researchers in designing and implementing machine learning models


  1. Ms in Mathematics, Statistics, Computer Science, or Economics
  2. Master in statistics and machine learning methods
  3. Expert in Python. Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
  4. Expert in SQL or other relational database.
  5. Strong communication skills to present the result of analyses
  6. Knowledge and experience in cloud computing is a plus

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