Graduate Scholarship – Data Science, Advanced Analytics, Value Engineering
Job not on LinkedIn
🕒 May 27
🗣️🇧🇷🇵🇹 Portuguese Required
🗣️🇪🇸 Spanish Required
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📋 Description
• Development of statistical models and machine learning algorithms for scenario forecasting and optimization of operational variables • Technical and economic feasibility analysis of data-driven innovation initiatives • Creation of analytical dashboards to support senior management
🎯 Requirements
• Education: Bachelor's degree • Degree fields: Computer Science, Statistics, Computer Engineering, Software Engineering, or Information Systems • Analytical programming languages, preferably Python or R • Strong foundation in applied statistics and machine learning models (Scikit-Learn, XGBoost, etc.) • Experience handling relational and non-relational databases (SQL) • Data visualization tools (Power BI or Tableau) • English: Intermediate to Advanced • Spanish: Intermediate to Advanced • Desirable: knowledge of mathematical optimization methods and operations research • Desirable: experience with model deployment frameworks (MLflow, Docker) • Desirable: basic knowledge of the mining sector or heavy industrial processes
🏖️ Benefits
• Stipend: BRL 4,000.00 • Availability: 40 hours per week • Remote work with occasional travel
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