Data Science Consultant-Mexico City, Mexico

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S & P Global, Islamabad                                                        Qualification:

  • Advanced degree in a highly quantitative field:
  • Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
  • Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.


  • Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis. Experience with scientific scripting languages (e.g., Python, R, Matlab).
  • Experience accessing and manipulating data in SQL database environments.
  • Experience with object-oriented programming (e.g., C#/C++, Java).

Roles & Responsibilities:

  • Selecting features, building and optimizing machine learning techniques to improve the accuracy of new products.
  • Analyze data for trends and patterns, understanding insight from data with a unbiased mindset.
  • Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.
  • Implement different analytical methodologies to help solve various problems related to the energy industry.

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