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Job Description
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:
A desire to drive your future and accelerate your career and the following experience and knowledge:
No Relocation support available
Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our succes
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular
Data Science
Analytics & Data Science
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:
- Analyze and derive value from data through the application methods such as statistics, time series modelling, machine learning and data visualization.
- Determine, create and maintain the best time series / machine learning models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias
- Collaborate with Demand Planners to identify right drivers and understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business.
- Develop data hypotheses and methods, train and evaluate forecasting models, share insights and findings, and continue to iterate with additional data.
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Experience in application of ML concepts and methodologies (especially time series modeling, but also regression, classification, feature engineering and selection etc.)
- Knowledge/experience with statistical programming languages including SAS, SQL, etc., to process data and gain insights from it
- Good communication skills to promote cross-team collaboration
- Strong analytical and presentation skills
- Advanced English
- Student of or a degree in quantitative field of Big data, Statistics, Econometrics, Computer Science or similar
- Certificates of SAS Base, SAS Viya, etc, will be an advantage
- Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process with be advantage
- Exciting work in a multi-cultural team of bright minds
- Flexible remote work options, or – if you prefer – access to a modern office
- Opportunity to learn new technologies such as Python, pySpark, AWS
- Opportunities to develop further in our Data Science community as well as in the international organization
- All kinds of benefits depending on the location
No Relocation support available
Business Unit Summary
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our succes
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER
Job Type
Regular
Data Science
Analytics & Data Science
Key Skills
Ranked by relevance
sas
machine learning
big data
python
sql
aws
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- Posted
- May 05, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Warsaw
- Company
- Mondelēz International
Industries
Food
Beverage Manufacturing
Beverage Services
Manufacturing
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
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senior engineer- Full Stack
2026-04-11
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Not Applicable
United States
Manufacturing
Information Technology
View Job Details
Related
Data Analyst - Advertising
2026-04-10
Full-time
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Netherlands
Retail
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View Job Details
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Senior Java Software Engineer - Big Data
2026-04-08
Full-time
Not Applicable
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Engineering