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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 Southern Cone represents Mondelez International operations in Argentina, Uruguay and Paraguay. We produce over 40 iconic and delicious brands with more than 400 products including Milka, Oreo, Cadbury and Tang, and local jewels like Cerealitas, Terrabusi and Clight, among others. More than 2,600 wonderful people proudly work to make our delicious snacks at two production plants in Argentina: the Pacheco Plant in Buenos Aires Province, Villa Mercedes Plant in Villa Mercedes Province and our commercial offices located in San Isidro, Buenos Aires Province.

To learn more about us, visit www.mondelezinternational.com/ar

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

Data Science

Analytics & Data Science

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Job Description

To learn more about us, visit www.mondelezinternational.com/ar

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