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Position: Data Scientist
Institution: TotalEnergies
Location: Genève, Switzerland
Duties: Contribute to our in-house suite of short and long-term power price forecasting models (fundamental/stack optimization, machine learning); Develop analytics and impactful visualization around these models to drive trading idea generation; Mine data and build data pipelines feeding into the models; Contribute to the development and maintenance of statistical and quantitative models; Develop scripts to enable automation and process optimization
Requirements: University educated to at least master’s degree in a mathematical subject; 2 years of experience in a position with a highly quantitative component, ideally on a trading floor; Strong coding skills in Python (OOP) with proficiency in common libraries for data science; Good knowledge of database technologies (PostgreSQL, MongoDB); Proficiency in machine learning and linear optimization techniques
   
Text: Data Scientist Contribute to our in-house suite of short and long-term power price forecasting models (fundamental/stack optimization, machine learning); Develop analytics and impactful visualization around these models to drive trading idea generation; Mine data and build data pipelines feeding into the models; Contribute to the development and maintenance of statistical and quantitative models; Develop scripts to enable automation and process optimization University educated to at least master’s degree in a mathematical subject; 2 years of experience in a position with a highly quantitative component, ideally on a trading floor; Strong coding skills in Python (OOP) with proficiency in common libraries for data science; Good knowledge of database technologies (PostgreSQL, MongoDB); Proficiency in machine learning and linear optimization techniques
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