
5001 - 10000 employees
🍽️ Food & Beverage
🏭 Manufacturing
📦 Logistics
Food & Beverage • Manufacturing • Logistics
Nestle is a Swiss multinational food and beverage company that produces and markets a wide range of packaged foods and beverages, including coffee, bottled water, dairy products, infant nutrition, confectionery, frozen foods, and pet care brands. The company sells its products globally through retail and foodservice channels, operates extensive manufacturing and supply-chain operations, and focuses on nutrition, health, and wellness initiatives.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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5001 - 10000 employees
🍽️ Food & Beverage
🏭 Manufacturing
📦 Logistics
Food & Beverage • Manufacturing • Logistics
Nestle is a Swiss multinational food and beverage company that produces and markets a wide range of packaged foods and beverages, including coffee, bottled water, dairy products, infant nutrition, confectionery, frozen foods, and pet care brands. The company sells its products globally through retail and foodservice channels, operates extensive manufacturing and supply-chain operations, and focuses on nutrition, health, and wellness initiatives.
• Understand business problems and translate them into data science solutions • Develop, implement, and optimize Machine Learning models • Identify opportunities for analysis and new applications of statistical models • Identify process improvement opportunities, prioritizing business needs • Communicate project developments and delivery progress • Contribute to the synergy and growth of the data science team • Contribute to solution design and mentor the Data Science team • Develop data products focused on financial data • Work directly with senior leaders in the area
• Bachelor’s degree in Economics, Computer Science, Engineering, or a related field – required • Experience with Data Analysis, Statistical Modeling, and Machine Learning – required • Knowledge of Machine Learning Operations (MLOps) practices – required • Ability to formulate data-driven solutions aligned with business opportunities • Strong verbal communication skills and the ability to work effectively and collaboratively with different teams • Knowledge of Azure, Databricks, Python, and SQL preferred • Good command of English (reading, writing, and speaking) – a plus
• Diverse and inclusive environment • Opportunities for professional growth and development • Remote work • Direct interaction with senior leaders in the area • Opportunities to work on multidisciplinary projects
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