Strong quantitative skills in statistics and linear algebra
Proficiency in python, r, and sql for data processing
Experience with machine learning techniques like decision trees and neural networks
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Mondelēz International is seeking a Manager of Data Science to support its business through actionable data insights and collaboration with various stakeholders. The ideal candidate will possess strong quantitative skills, experience in machine learning, and the ability to translate complex data into understandable business recommendations.
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Job Summary
The role is crucial for supporting the business by creating valuable, actionable insights about data and communicating findings to stakeholders.
You will design, develop, and implement robust Machine Learning models to optimize processes, predict trends, and enhance decision-making across the organization.
Mondelēz International offers a culture of innovation with pioneering work-life balance practices including extended maternity leave, remote work options, and flexible working hours.
Matching Summary
Match Score: 75
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Mondelēz International is seeking a Manager of Data Science to support its business through actionable data insights and collaboration with various stakeholders. The ideal candidate will possess strong quantitative skills, experience in machine learning, and the ability to translate complex data into understandable business recommendations.
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Skills & Requirements
Must-have
Strong quantitative skills in statistics and linear algebra
Proficiency in Python, R, and SQL for data processing
Experience with machine learning techniques like decision trees and neural networks
Ability to translate technical insights into business value
Knowledge of advanced statistical techniques including regression and testing
Nice-to-have
Multilingual coding knowledge in Java, JavaScript, C, or C++
Experience with Big Data tools like Spark and Hadoop
Proactive mindset to explore new technologies and methodologies
Familiarity with social network analysis and text mining
Ability to work autonomously in a fast-paced environment
Key Requirements
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field
Demonstrable experience in Data Science and Machine Learning model implementation
Excellent oral and written communication skills in Advanced English