Mondelēz International
10,000+ employees
Founded 2012
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Mondelēz International is a global leader in the snacking industry, well-known for its iconic brands like Cadbury, Oreo, and Toblerone. The company is involved in producing and marketing a wide range of chocolate, biscuits, candy, and other snacks, which are available to consumers across the world. Mondelēz is committed to corporate governance, sustainability, and making a positive impact on communities through initiatives in diverse areas like environmental sustainability and diversity, equity, and inclusion. The company operates in various sectors, including manufacturing, marketing, and supply chain management, and has a significant presence in multiple countries.
Data Science
🕒 June 29
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Mondelēz International
10,000+ employees
Founded 2012
💼 Consulting
📣 Marketing
📦 Logistics
Consulting • Marketing • Logistics
Mondelēz International is a global leader in the snacking industry, well-known for its iconic brands like Cadbury, Oreo, and Toblerone. The company is involved in producing and marketing a wide range of chocolate, biscuits, candy, and other snacks, which are available to consumers across the world. Mondelēz is committed to corporate governance, sustainability, and making a positive impact on communities through initiatives in diverse areas like environmental sustainability and diversity, equity, and inclusion. The company operates in various sectors, including manufacturing, marketing, and supply chain management, and has a significant presence in multiple countries.
📋 Description
• Analyze and derive value from data through mathematics, statistics, and machine learning techniques. • Enable data-driven decision making by creating custom models or prototypes. • Coordinate with other teams to implement models and monitor results. • Develop data hypotheses and methods, train and evaluate analytics models. • Assist in establishing functional analytics methods and techniques.
🎯 Requirements
• Strong quantitative skillset with experience in statistics and linear algebra. • Knowledge/experience with statistical programming languages including R, Python, SQL, etc. • Knowledge of machine learning techniques including decision-tree learning, clustering, and artificial neural networks. • Good communication skills to promote cross-team collaboration. • Hold a MSc/PhD in a Data Science field such as Mathematics, Economics, Business or a related field. • 5+ years of experience creating statistical/ML models on sales data including simulation and/or forecasting.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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