We are seeking a skilled and motivated Data Scientist to support the Cocoa Enterprise Program – a strategic initiative focused on cocoa supply chain strategy, forecasting, and scenario planning. The successful candidate will play a pivotal role in developing, maintaining, and enhancing forecasting models that inform cocoa sourcing strategy, pricing decisions, and supply chain planning across the enterprise.
This role operates within Mondelēz’s internal data science ecosystem (Databricks, cloud platforms). Beyond technical expertise, the ability to translate complex model outputs into actionable strategy recommendations will be key to success.
What you need to know about this position
Forecasting Model Development
Design, develop, and operationalize advanced forecasting models for cocoa market dynamics including supply availability, demand planning, and price forecasting. This product serves as an input into Mondelez’ scenario planning and optimization.
Platform Compliance & Model Deployment
Ensure all model integration and deployment activities comply with Mondelēz data science standards, including adherence to approved cloud architectures, MLOps practices, security protocols, and governance frameworks.
Cross-Functional Collaboration
Partner with procurement, supply chain planning, finance, and commodity trading teams to align model outputs with business decision-making.
Model Monitoring & Governance
Implement model monitoring frameworks for early detection of forecast drift and performance degradation; maintain comprehensive documentation of models, logic, and performance metrics.
GenAI & Advanced Analytics
Explore and apply GenAI capabilities (e.g., LLMs for market intelligence summarization, information retrieval from unstructured commodity reports) to enhance the program's analytical capabilities.
What extra ingredients you will bring
Experience in agriculture, mining, manufacturing and or commodity markets (cocoa, coffee, sugar, or agricultural commodities).
Exposure to GenAI tools and techniques – LLMs, RAG, Transformers – particularly for unstructured data processing (market reports, news, research papers).
CPG industry experience, particularly in raw material sourcing or supply chain strategy.
Education / Certifications
Education: Bachelor’s degree in a Quantitative Discipline (Economics, Statistics, Mathematics, Operations Research, or STEM field). Master’s preferred.
Experience: Minimum 3 years of data science/AI experience, with a strong focus on forecasting and/or supply chain analytics.
Domain Knowledge: Minimum 3 years of experience in supply chain, agriculture, mining, or other related field.
Job specific requirements
Forecasting & Time Series
Experience with time series modeling (ARIMA, Prophet, exponential smoothing, state-space models), driver-based and causal modeling approaches (structural equation models, causal inference, Bayesian structural time series), ML-based forecasting (gradient boosting, neural networks), and deep learning approaches (LSTMs, Transformers).
Explainable AI
Experience with model interpretability and explainability techniques (SHAP, LIME, partial dependence plots, counterfactual explanations) to ensure model outputs are transparent and actionable for business stakeholders, particularly where models feed into scenario planning.
Programming
Python, PySpark, SQL.
MLOps
Experience with model productionization, CI/CD pipelines, model monitoring, and lifecycle management (MLflow or equivalent).
Statistical Foundations
Solid background in statistics, probability distributions, hypothesis testing, A/B testing, and multivariate analysis.
Communication
Ability to articulate complex model outputs and recommendations to leaders and non-technical stakeholders.
Mondelez International is attentive to the future of work and values the well-being of our people, seeking to provide the best experiences. Therefore, some of our administrative vacancies are eligible for the hybrid model, allowing remote work on certain days of the week. 


No Relocation support available
Business Unit Summary
Mondelēz Brasil is Mondelēz International’s fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians’ favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
Regular
Analytics & Modelling
Analytics & Data Science
