Education: Candidates must hold a degree as a civil or applied engineer specializing in chemical, metallurgical, or mining engineering, or alternatively, a bachelor's degree in mathematics or physics.
Experience: Applicants should have at least one year of hands-on experience applying data science principles to hydrometallurgical or industrial process environments, demonstrating a solid understanding of industrial operations and data-driven analysis.
Technical Skills: Advanced programming abilities in Python and Visual Basic are essential for this role, accompanied by strong proficiency in Microsoft Office, especially Excel. Experience working with the PI System, including Asset Framework (AF) and Data Archive components, at a user level is crucial. Candidates must have a robust knowledge of data science methods and mathematical modeling techniques applicable to process improvement and analysis.
Other Requirements: Due to the nature of the role and collaboration needs, residence in Chile is mandatory.