Global Supply Analytics & Modeling Leader

Mondelēz International; United States; Remote; USD 100,000 - 165,000; Full time

Job summary

Mondelēz International seeks a data analytics professional to extract actionable insights from data, build predictive models, and communicate findings to diverse stakeholders. You will work across disciplines to translate business challenges into data-driven solutions and monitor model performance for continuous improvement.

The role emphasizes statististics, ML methods, and data visualization with a global snacks-focused business, travel as needed, and a strong emphasis on collaboration and

Qualifications

• Strong quantitative skillset with experience in statistics and linear algebra.
• Knowledge/experience with statistical programming languages including R, Python, SQL, etc.
• Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, text mining, etc.

Responsibilities

• Analyze data and derive value using mathematics, statistics, computer science, ML and datavisualization.
• Form hypotheses and test them using math, statistics, visualization and predictive modeling.
• Enable data-driven decisions by creating models or prototypes and coordinating with teams to implement results.
• Develop processes and tools to analyze and monitor model performance and data accuracy.
• Collaborate with stakeholders to determine data-driven business solutions/insights.
• Explore and evaluate analytics techniques and tools, recommending improvements.

Skills

Statistics

Linear algebra

Python

R

SQL

Machine learning

Data visualization

Communication

Java

JavaScript

C

C++

Data mining

Text mining

Education

Bachelor's / Master's degree

Tools

R

Python

SQL

Data visualization tools

Job description

Mondelēz International seeks a data analytics professional to extract actionable insights from data, build predictive models, and communicate findings to diverse stakeholders. You will work across disciplines to translate business challenges into data-driven solutions and monitor model performance for continuous improvement.

The role emphasizes statististics, ML methods, and data visualization with a global snacks-focused business, travel as needed, and a strong emphasis on collaboration and