Data Scientist Specialist, SoCo

Mondelēz International

Thames

Híbrido

ARS 136.174.000 - 181.565.000

Jornada completa

hace 43 horas
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Descripción de la vacante

Mondelēz International is seeking a Data Scientist Specialist to spearhead demand and supply segmentation, forecast generation, and the operational maintenance of data science tools and systems.

You will leverage strong technical skills in data manipulation, statistical modeling, and root-cause analysis to improve forecast accuracy and overall data science capabilities within a hybrid work model.

Formación

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
  • 5+ years of experience in data analysis, BI, or junior data science role.
  • Proficiency in Python (Pandas, NumPy, Scikit-learn) or R.
  • Experience with SQL for querying and managing databases.
  • Familiarity with data visualization tools (Tableau, Power BI) and forecasting software is a plus.

Responsabilidades

  • Operationalize and automate data activities for efficient visuals production.
  • Assist in ensuring data accessibility, retrievability, security and ethical protection.
  • Identify new data sources and assess their accuracy.
  • Build and maintain data pipelines and retrieve datasets for use cases.
  • Understand data and metadata to support consistent information retrieval and analysis.
  • Validate information from multiple sources.
  • Assess issues hindering optimal use of information assets.

Conocimientos

Data engineering
Python
SQL
Tableau/Power BI
Data visualization

Educación

Bachelor's degree in Data Science or related field

Herramientas

Tableau
Power BI
SAP

Descripción del empleo

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.

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

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.

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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+3