Data Scientist Specialist — Hybrid, Forecasting Pro

Mondelēz International; Thames; Híbrido; ARS 136.174.000 - 181.565.000; Jornada completa

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

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.