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:
- 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.
More Information
- City Mexico City
- Currency Mexico Pesos – MXN
- Number of Vacancies 1
- Career Level Mid-Career
- Education Major BS/BCS
- Preferred Nationality Any Nationality
- Gender Male
- Speciality 1 CS
- Speciality 2 IT
