Data Science Modelling
mdlz · São Paulo, Brazil ·
- Work mode
- Hybrid
- Category
- Data science
mdlz · São Paulo, Brazil ·
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will help our business react to changing business conditions with excellent data analysis. You will define the requirements, perform the analysis and identify patterns in large amounts of data.
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.
Main Responsabilities:
Hands-on role responsible for the execution of demand and supply segmentation, statistical forecast generation, and the operational maintenance of data science tools and systems. This role requires strong technical skills in data manipulation, statistical modeling, and root-cause analysis to contribute directly to improving forecast accuracy and overall data science capabilities.
Career Experiences Required:
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
Experience in a data analysis, business intelligence, or junior data science role.
Proficiency in data manipulation and analysis using programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
Experience with SQL for querying and managing databases.
Familiarity with data visualization tools (e.g., Tableau, Power BI) and forecasting software is a plus.
Fluent English (mandatory).
Advanced Spanish is a plus.
Functional Competencies
Advanced Data Analysis
Programming Languages
Machine Learning Algorithms - Advanced
Problem-solving abilities - Advanced
Visualization Tools – Intermediate
Main Responsibilities
Develop and refine predictive models to improve accuracy and business relevance.
Act as a technical back office, translating business needs into model adjustments (data granularity, pricing variables, new inputs).
Analyze model performance, identify gaps, and drive continuous improvements.
Design and run experiments (test & learn) to validate new hypotheses and inputs.
Integrate and manage multiple data sources, ensuring data quality and consistency.
Train, tune, and maintain models and analytical tools.
Partner closely with stakeholders to test assumptions and support decision-making.
Incorporate business drivers (e.g., pricing, promotions, share) into models and continuously enhance outputs.
Mondelez International is attentive to the future of work and values the wellbeing 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.
Business Unit Summary
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.