Master's Fellow – 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: Master's degree • Degrees: Computer Science, Statistics, Computer Engineering, Software Engineering, Information Systems or related fields (focus on Value Engineering and Analytics) • English: Intermediate to Advanced (technical reading required) • Spanish: Intermediate to Advanced (technical reading required, and occasional meetings in Spanish) • 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 (desirable)
🏖️ Benefits
• Availability: 40 hours per week • Duration: 12 months • Stipend: R$ 4,200.00 • Modality: Remote (availability for occasional travel for integration and onboarding)
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