Data Scientist

• Analyze and derive value from data using mathematics, statistics, computer science, machine learning, and data visualization
• Formulate and test hypotheses using mathematics, statistics, visualization, and predictive modeling
• Understand business challenges and create actionable data insights
• Communicate findings to business stakeholders and determine how business data can support solutions and insights
• Create custom models or prototypes from trends and patterns to enable data-driven decision making
• Coordinate with technical and functional teams to implement models and monitor results
• Select, acquire, and integrate data for analysis
• Develop hypotheses and methods, train and evaluate analytics models, share insights, and iterate with additional data
• Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
• Evaluate analytics needs, assess problems, identify data sources, and apply appropriate analytical techniques
• Explore and experiment with data visualization
• Manage reviews of analytics techniques and tools and recommend improvements

Explore Global Supply Planning Data Science Manager at Mondelēz International. Review requirements and application details.

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