Global Data Scientist: Demand Forecasting & Analytics

Mondelēz International; Ciudad de México; Presencial; MXN 873.362 - 1.397.380; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equal opportunity employer

Descripción de la vacante

Mondelēz International seeks a talented Data Scientist to improve sales forecast accuracy and drive data-driven decision-making in our supply chain analytics team. You will analyze complex data, build predictive models, and communicate insights to various stakeholders.

With a strong background in statistical programming and machine learning, you will work on demand planning and contribute to a cross-functional analytics approach globally. Join us to help shape the future of snacking!

Formación

• At least 5 years of experience creating statistical/ML models on sales data.
• Strong experience in Data Science, Data Analytics, Big Data, and Machine Learning.
• Understanding of XAI methods and their applications.

Responsabilidades

• Analyze and derive value from data using statistical and predictive modeling.
• Communicate findings and insights to stakeholders.
• Build relationships with external experts to stay informed on technological advancements.

Conocimientos

Statistical programming (R, Python, SQL)

Machine learning techniques

Data visualization

Quantitative skills

Problem-solving

Multilingual coding knowledge (Java, JavaScript, C, C++)

Experience with data mining techniques

Experience in Demand Planning

Statistical techniques (regression, testing)

Educación

MSc/PhD in Data Science, Mathematics, Economics, or related field

Herramientas

Data visualization tools

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Descripción del empleo

Mondelēz International seeks a talented Data Scientist to improve sales forecast accuracy and drive data-driven decision-making in our supply chain analytics team. You will analyze complex data, build predictive models, and communicate insights to various stakeholders.

With a strong background in statistical programming and machine learning, you will work on demand planning and contribute to a cross-functional analytics approach globally. Join us to help shape the future of snacking!