Data Scientist - Bogota, Colombia - S&P Global
Descripción
Data Scientist - S&P Global Commodity InsightsJob summary:
Responsibilities:
- Strong problemsolving skills with an emphasis on product development.
- Selecting features, building and optimizing machine learning techniques to improve the accuracy of new products.
- Analyse data for trends and patterns, understanding insight from data with a unbiassed mindset.
- Implement different analytical methodologies to help solve various problems related to the energy industry.
- Close collaboration with software developers and machine learning engineers in the implementation of analytical models into production or commercialization.
- Develop and utilize algorithms to perform error analysis to improve model uniformity and accuracy.
- Communicate your findings to both technical and nontechnical stakeholders.
- Comfort working in a very dynamic, researchoriented team with several projects under construction in parallel.
Required Qualifications:
- Advanced degree in a highly quantitative field: Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.
- Proficiency with data mining, knowledge of probability theory and advanced statistical techniques.
- Experience with regression analysis (beyond linear regression), supervised learning, unsupervised learning or timeseries analysis.
- Experience with scientific scripting languages (e.g., Python, R, Matlab)
- Experience accessing and manipulating data in SQL database environments.
Preferred Qualifications:
- Recent work or internship experience in an advanced data analytics role.
- Experience with objectoriented programming (e.g., C#/C++, Java).
- Knowledge of deep learning and related toolkits: Tensorflow, PyTorch, Keras, etc.
- Knowledge of the energy industry, understanding the different challenges and potential solutions.
- Equal Opportunity Employer
Job ID: 279985
Posted On:
Location:
Mexico City, Mexico
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