Forecasting Data Scientist

@ Mondelēz International

Overview

At Mondelēz International, the Forecasting Data Scientist will support business operations by creating valuable, actionable insights through advanced data analysis, machine learning, and predictive modeling.

Key Responsibilities

• Analyze data using mathematics, statistics, machine learning, and data visualization.
• Formulate and test hypotheses through predictive modeling and statistical testing.
• Create and refine forecasting models to improve demand planning accuracy.
• Develop Python/PySpark algorithms on Databricks for predictive analysis.
• Collaborate with demand planners and cross-functional teams to improve models.
• Lead continuous improvement projects in supply chain forecasting.

Qualifications

Candidates should have a strong quantitative skillset, extensive experience with statistical programming languages (R, Python, SQL) and machine learning techniques including clustering, decision trees, neural networks and regression analysis. Multilingual coding experience and significant exposure in FMCG or related industries is an advantage.

Additional Information

This role involves coordinating with various technical and functional teams, ensuring data accuracy, and continuously iterating models based on performance metrics like MAPE. Relocation support is available and some international moves are supported under our Volunteer International Transfer Policy.

Key skills/competency

• forecasting
• machine learning
• statistics
• data visualization
• predictive modeling
• Python
• Databricks
• supply chain
• data modeling
• analytical