Data Science Manager

Mondelēz International

Hybrid
5+ years experience in supply chain planning
Experience with ibp and s&oe processes
Proficiency in python, r, sql, and machine learning
The role is crucial for supporting the business by creating valuable, actionable insights about data and communicating findings to stakeholders

Job Summary

  • The role is crucial for supporting the business by creating valuable, actionable insights about data and communicating findings to stakeholders.
  • Candidates will apply mathematical, statistical, and machine learning techniques to formulate hypotheses, test them, and enable data-driven decision making.
  • The position requires coordinating regional data consolidation and ensuring adherence to IBP and S&OE processes across Latin American Business Units.

Matching Summary

The role is crucial for supporting the business by creating valuable, actionable insights about data and communicating findings to stakeholders.

Skills & Requirements

Must-have

  • 5+ years experience in Supply Chain Planning
  • Experience with IBP and S&OE processes
  • Proficiency in Python, R, SQL, and Machine Learning
  • Knowledge of SAP APO, SAP IBP, o9, or Kinaxis
  • Strong statistical analysis and predictive modeling skills

Nice-to-have

  • Multilingual coding knowledge including Java and C++
  • Experience with social network and text mining
  • Ability to drive continuous improvement in planning tools
  • Fluency in English for regional interaction
  • Hybrid work model collaboration skills

Key Requirements

  • 5+ years in Supply Chain, Demand, or Supply Planning
  • Practical experience with IBP/S&OE cycles
  • Familiarity with planning systems like SAP APO or o9
  • Fluency in English required
  • No relocation support available

Work Rights

Not specified

Tailored Resume

Cover Letter