Forecasting Analyst - Functional Analytics

Mondelez International; Mumbai; Hybrid; INR 1,459,000 - 2,918,000; Part time

Job summary

Mondelēz Brasil is seeking a skilled Data Scientist to develop and maintain forecasting models for cocoa sourcing, pricing decisions, and supply chain planning across the enterprise. You will translate model outputs into actionable strategic recommendations for senior leaders.

In this role, you will work within Mondelēz’s data science ecosystem (Databricks, cloud platforms), collaborating with procurement, finance, and planning teams to drive value from advanced analytics and GenAI capabilities.

Qualifications

• Bachelor’s degree in Economics, Statistics, Mathematics or STEM field.
• Master’s degree preferred.
• Minimum 3 years of data science/AI experience, focused on forecasting or supply chain analytics.
• 3+ years of experience in supply chain, agriculture, mining, or related field.

Responsibilities

• Design and operationalize forecasting models for cocoa market dynamics.
• Deploy models with CI/CD, MLOps, and governance.
• Collaborate with procurement, supply chain planning, finance, and commodity trading teams.
• Monitor models and document performance metrics.
• Explore GenAI capabilities to enhance analytics.

Skills

Time series modeling

Python

PySpark

SQL

MLOps

Explainable AI

Communication

GenAI

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

Tableau

Excel

Alteryx

R

Python

Databricks

MLflow

Job description

São Paulo, Brazil

Mumbai, India

Part time

R-179492

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:

• 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

At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.

We have a rich portfolio of strong brands – both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum

Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.

Join us and Make It An Opportunity!

Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.