Develop and operationalize forecasting models for cocoa supply, demand, pricing, and scenario planning. Collaborate with procurement, supply chain, finance, and commodity trading teams to translate model outputs into business recommendations. Manage model deployment, monitoring, governance, documentation, and MLOps compliance. Apply time-series, causal, machine learning, deep learning, explainable AI, and GenAI techniques to structured and unstructured commodity data.
Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movimento pela Equidade Racial.
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:
Education / Certifications:
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
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results.
How you will contribute
You will:
- Execute the business analytics agenda in conjunction with analytics team leaders
- Work with best-in-class external partners who leverage analytics tools and processes
- Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance
- Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Using data analysis to make recommendations to analytic leaders
- Understanding in best-in-class analytics practices
- Knowledge of Indicators (KPI's) and scorecards
- Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus
More about this role
We are aware of our role as transformation agents to generate positive change, so diversity, equity and inclusion are one of our priorities. We believe in breaking down stereotypes and barriers to ensure the representation of society within our company. And for that, we have a Diversity Committee that operates on four fronts, People with disabilities (PCD), Ethnic-Racial, Women and LGBTQIAP+, in addition to being part of MOVER - Movimento pela Equidade Racial.
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
Mondelēz International Mumbai, Maharashtra, IND Office
Unit # 2001, 20th Floor, Tower 3 (Wing C) One International Centre, One International Centre, Mumbai, India, 400 013
Similar Jobs at Mondelēz International
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Own global buying channel enablement across indirect procurement categories by analyzing catalogue penetration, identifying adoption barriers, influencing sourcing and regional teams, selecting and activating Coupa channels, improving dashboards, and driving catalogue-first purchasing. The role requires procurement, P2P platform, data analytics, stakeholder influence, and change management expertise in a global matrixed organization.
Top Skills:
CelonisCoupaGuided BuyingHosted CataloguesProcure-To-Pay PlatformsPunchout Catalogues
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead tax and legal activities for Mondelēz Brazil, advising business units on legal risks, regulatory changes, compliance, disputes, and commercial and corporate initiatives. Develop and implement legal strategies, guide managers on informed risk decisions, manage external counsel and legal spending, and collaborate with regional and global stakeholders. Requires strong analytical, strategic, communication, decision-making, and problem-solving skills, along with authorization to practice law.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead forecasting, market-share estimation, competitive intelligence, and performance deep dives. Integrate Nielsen, Scanntech, and household-panel data; translate analytical models into strategic recommendations; and partner with cross-functional stakeholders to guide business priorities and growth.
Top Skills:
AlteryxExcelNielsenPower BIPythonRScanntechSQLTableau
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
