Global Supply Planning Data Science Manager

Are You Ready to Make It Happen at Mondelēz International?

Join our Mission to Lead the Future of Snacking. Make It With Pride.

You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating yourfindings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.

How you will contribute

You will:

• Analyze and derive value from data through the application methods suchas mathematics, statistics,computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them usingmath, statistics, visualization andpredictivemodeling
• Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
• Enable data-driven decision making by creating custom models or prototypes from trends or patterns discernedand by underscoring implications.
  
  Coordinate with other technical/functional teams to implement models and monitor results
• Apply mathematical, statistical, predictive modelling or machine-learning techniques and withsensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop datahypotheses and methods, train and evaluate analytics models, share insights and findings and continues toiterate with additional data
• Develop processes, techniques, and tools toanalyzeand monitor model performance while ensuring data accuracy
• Evaluate the need for analytics, assess the problems to be solved and what internal or external data sourcesto use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques toanalyzedata, generate insights, create value and support decision making
• Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Strong quantitative skillset with experience in statistics and linear algebra.
• A natural inclination toward solving complex problems
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc., toprocess data and gain insights from it
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificialneural networks, etc., and their pros and cons
• Knowledge and experience in advanced statistical techniques and concepts including,regression, distribution properties, statistical testing, etc.
• Good communication skills to promote cross-team collaboration
• Multilingual coding knowledge/experience:
  Java, JavaScript, C, C++, etc.
• Experience/knowledge in statistics and data mining techniques including random forest,GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

More about this role

What you will bring

A desire to drive your future and accelerate your career and the following experience and knowledge:

• Strong quantitative skillset with experience in statistics and linear algebra.
• A natural inclination toward solving complex problems
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc., toprocess data and gain insights from it
• Knowledge of machine learning techniques including decision-tree learning, clustering, artificialneural networks, etc., and their pros and cons
• Knowledge and experience in advanced statistical techniques and concepts including,regression, distribution properties, statistical testing, etc.
• Good communication skills to promote cross-team collaboration
• Multilingual coding knowledge/experience:
  Java, JavaScript, C, C++, etc.
• Experience/knowledge in statistics and data mining techniques including random forest,GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders

Education / Certifications:
Bachelors /Master’s degree

Travel requirements:
Travel might be required

No Relocation support available