Global Supply Chain Data Science Lead

Mdlz; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Mondelēz International is seeking a data scientist to translate data into actionable business insights. You will build models, prototype data-driven solutions, and share findings with stakeholders to influence decisions.

This role requires strong statistics knowledge, ML techniques, and the ability to communicate clearly across teams. You will work with diverse data sources and contribute to visualization efforts for decision makers.

Qualifications

• Strong quantitative skills in statistics and linear algebra.
• Experience with R, Python and SQL to process data and gain insights.
• Knowledge of machine learning techniques and their pros and cons.
• Proficiency in advanced statistics including regression and testing.
• Excellent cross-team communication and collaboration.

Responsibilities

• Create valuable insights from data and communicate findings to stakeholders.
• Develop models/prototypes to enable data-driven decisions.
• Collaborate with technical/functional teams to implement models and monitor results.
• Apply predictive modelling techniques and validate results with stakeholders.
• Explore data visualization approaches to showcase insights.

Skills

Statistics

Linear algebra

Python

SQL

R

Machine learning

Data visualization

Communication

Java

JavaScript

C

C++

Education

Bachelor's or Master's degree

Job description

Mondelēz International is seeking a data scientist to translate data into actionable business insights. You will build models, prototype data-driven solutions, and share findings with stakeholders to influence decisions.

This role requires strong statistics knowledge, ML techniques, and the ability to communicate clearly across teams. You will work with diverse data sources and contribute to visualization efforts for decision makers.