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 provide technical contributions to the data science process. In this role, you are the internally recognized expert in data, building infrastructure and data pipelines/retrieval mechanisms to support our data needs
How you will contribute
You will:
- Operationalize and automate activities for efficiency and timely production of data visuals
- Assist in providing accessibility, retrievability, security and protection of data in an ethical manner
- Search for ways to get new data sources and assess their accuracy
- Build and maintain the transports/data pipelines and retrieve applicable data sets for specific use cases
- Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation
- Validate information from multiple sources.
- Assess issues that might prevent the organization from making maximum use of its information assets
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Extensive experience in data engineering in a large, complex business with multiple systems such as SAP, internal and external data, etc. and experience setting up, testing and maintaining new systems
- Experience of a wide variety of languages and tools (e.g. script languages) to retrieve, merge and combine data
- Ability to simplify complex problems and communicate to a broad audience
More about this role
What you need to know about this position:
As a Data Scientist Specialist, you'll be 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.
Job specific requirements:
- 'Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
- +5 years of 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.
Work schedule: hybrid.



No Relocation support available
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.
Regular
Data Science
Analytics & Data Science
