
10,000+ employees
Founded 1992
🍽️ Food & Beverage
🏭 Manufacturing
🌾 Agriculture
💰 $100M Post-IPO Debt - Minerva Foods on 2023-09
Food & Beverage • Manufacturing • Agriculture
Minerva Foods is a leading South American producer and exporter of fresh meat and meat-derived products, with more than 30 years of experience in the production and commercialization of beef, lamb and processed meat lines. The company operates across the full value chain — from relationships with cattle ranchers and traceability programs to industrial processing, branded products, retail and foodservice channels, and export markets — and also maintains related businesses including biodiesel, leather, casings, ingredients and energy. Minerva emphasizes sustainability, animal welfare, low-carbon and carbon-neutral product lines, and corporate governance and investor relations.
🕒 June 20
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1992
🍽️ Food & Beverage
🏭 Manufacturing
🌾 Agriculture
💰 $100M Post-IPO Debt - Minerva Foods on 2023-09
Food & Beverage • Manufacturing • Agriculture
Minerva Foods is a leading South American producer and exporter of fresh meat and meat-derived products, with more than 30 years of experience in the production and commercialization of beef, lamb and processed meat lines. The company operates across the full value chain — from relationships with cattle ranchers and traceability programs to industrial processing, branded products, retail and foodservice channels, and export markets — and also maintains related businesses including biodiesel, leather, casings, ingredients and energy. Minerva emphasizes sustainability, animal welfare, low-carbon and carbon-neutral product lines, and corporate governance and investor relations.
• Develop and implement machine learning models (classification, regression and segmentation) using a variety of Python libraries; • Validate machine learning models using diverse metrics and concepts such as confusion matrix, backtesting, out-of-time testing, train/test splits, cohorts, ROC-AUC and KS; • Handle data from different sources, consolidating it into usable structures for analysis. Data may not always be in the same environment or in the ideal format for model application; • Produce activity status updates as well as clear data process documentation to support solutions at the strategic level; • Create storytelling and prepare presentations to communicate modeling and analysis results; • Contribute to process changes by improving them through data to deliver measurable financial impact to the company; • Collaborate with Data Infrastructure, Data Engineering and Systems, and Process Engineering teams to integrate analytical solutions into existing internal tools and processes as effectively as possible; • Monitor and propose improvements in the area, targeting process enhancements related to activities, projects and initiatives to incorporate industry best practices.
• Bachelor's degree in STEM fields (Statistics, Computer Science, Mathematics, Physics, Engineering, etc.) or related areas; • Minimum of 5 years of experience working on Data Science projects (Behaviour Score, Collections, Churn, Price Prediction, etc.), with demonstrable business impact; • Required skills: Python, SQL, Machine Learning, Pandas, Scikit-learn; • Preferred: experience with Databricks, MLOps and postgraduate degree in a STEM field; • Plus: experience with Time Series projects; • English - Advanced level;
• Availability to travel to Minerva's operations and offices for opportunity mapping, process understanding, validations and client support.
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