Posted:
10/6/2025, 5:41:38 PM
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Remote
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 be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
More about this role
You will represent and communicate data requirements to help us understand our data assets and the relationships among them. You will investigate, analyze and scope data requirements to support the development of data integration, data retrieval and reusable data sets.
What you need to know about this position:
The Data Scientist will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias
What extra ingredients you will bring:
Lead statistical forecasting process to provide business a statistical base forecast for its demand planning process.
Lead some continuous improvement projects to get a more efficient, robust, and accurate models to predict.
Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions
Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
Choose a suitable data modeling approach for each project, such as by assessing the suitability of existing data models and build data models with the flexibility to change when business requirements change
Reconcile multiple logical source models into a single, logically consistent model and you will ensure that the proposed model follows data architecture guidelines and best practices
Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
Analyse code, define and implement strategies to have more accurate and efficient results
A desire to drive your future and accelerate your career and the following experience and knowledge:
Extensive experience in data modeling in a large complex business with multiple systems
Ability to simplify complex problems and communicate them to a broad audience
Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes.
Analyze code, define, and implement strategies to have more accurate and efficient results
Working in cloud computing environments with tools like databricks and help MDLZ to have better practices on it.
Aligning and coordinating activities with different areas and stakeholder to guarantee a good execution of projects and processes.
Education / Certifications:
Bachelor's Degree required. Masters in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred
Certifications Google Cloud Platform as Data Scientist, or Data Analyst, or in Databricks (nice to have)
Experience in any Data Science language like Python (preferred), PySpark (preferred), R, Julia.
Experience developing and deploying Statistical and/or machine learning solutions.
Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar.
10+ years of applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting
10+ years of experience in handling multiple projects leading in the domain of supply chain and forecasting with multiple team members as part of org structure,
Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have)
Should be able to articulate data science outcome into business understandable language
Experience leading projects and/or processes
Fluent English is a must
Job specific requirements:
Travel requirements:
Work schedule:
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer PolicyUSA:
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
Canada:
If you are applying to a position in Canada, accommodations for applicants with disabilities or other grounds protected by human rights legislation are available upon request for candidates taking part in all aspects of the employment selection process. For all internal and external applicants who require accommodation in the recruitment and selection process please contact 847-943-5460 for assistance/support.
Website: https://www.mondelezinternational.com/
Headquarter Location: Chicago, Illinois, United States
Employee Count: 10001+
Year Founded: 1903
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: Consumer Goods ⋅ Food and Beverage ⋅ Food Processing ⋅ Manufacturing