Data Science Manager

Mondelēz International

Data Science Manager role at Mondelēz International analyzing supply chain data. Driving data-driven decisions in supply chain planning across Latin America.

Posted 5/26/2026full-timeBogota • 🇨🇴 ColombiaMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization
Formulate hypotheses and test them using math, statistics, visualization and predictive modeling
Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications
Coordinate with other technical/functional teams to implement models and monitor results
Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making

Requirements

What you’ll need

5+ years of experience in Supply Chain Planning, Demand Planning, Supply Planning, or IBP/S&OE roles
Fluency in English is required for effective regional interaction
Practical experience participating in or supporting IBP/S&OE cycles within a corporate environment
Familiarity with process documentation, standard operating procedures, and training delivery
Experience working with planning systems (e.g., SAP APO, SAP IBP, o9, Kinaxis) and data analysis tools (e.g., Excel, Power BI)

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

mathematicsstatisticscomputer sciencemachine learningdata visualizationpredictive modelingdata analysis

Soft Skills

data-driven decision makinghypothesis formulationcoordinationcommunication