Global Supply Planning Data Science Manager
Mondelēz International (company site, opens in a new tab)RemoteDirect career pageEst. 30–45 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Analyze and extract actionable business insights using statistical, mathematical, machine learning, and data visualization techniques.
- Develop, implement, and monitor predictive models and prototypes to support data-driven decision making in supply planning.
- Collaborate with stakeholders and technical teams to apply data science solutions addressing business challenges and improve model performance.
Minimum Requirements
- Strong quantitative skills with experience in statistics and linear algebra.
- Proficiency in statistical programming languages such as R, Python, and SQL.
- Bachelor's or Master's degree in a relevant field.
- Experience with machine learning techniques including decision-tree learning, clustering, and neural networks.
Ideal Candidate Profile
- Experienced in applying advanced statistical and predictive modeling techniques (e.g., regression, GLM, random forests) to business data.
- Capable of coordinating with cross-functional teams to implement and maintain analytics models.
- Skilled in communicating complex data findings effectively to non-technical stakeholders using data visualization tools.