Data Scientist

hace 2 semanas

Bogota, Colombia S&P Global A tiempo completo

Data Scientist - S&P Global Commodity Insights

**Job summary**:
**Responsibilities**:

- Strong problem-solving 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 non-technical stakeholders.
- Comfort working in a very dynamic, research-oriented 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 time-series 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 object-oriented 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
------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

**Job ID**: 279985

**Posted On**: 2023-01-26

**Location**: Mexico City, Mexico

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