Support business decisions by analyzing data, creating statistical forecasts, and collaborating with stakeholders to derive actionable insights.
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:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
Education / Experience
What we offer
Relocation Support Available?
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.
What you will bring
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
Education / Experience
- 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
What we offer
- 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
Relocation Support Available?
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
Top Skills
AWS
Pyspark
Python
SAS
SQL
Similar Jobs at Mondelēz International
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Manage data transformation in supply chain operations, utilizing expertise in data analytics, SAP systems, and leading teams while ensuring effective communication and project management.
Top Skills:
Big QueryGCPPower BISAPTableau
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead and mentor a data science team, improving analytical methods for business insights and solutions, with a focus on time series forecasting.
Top Skills:
PythonSASSQL
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead South Central European & Turkey Payroll teams to ensure accurate payroll and compliance with company regulations, while driving process efficiency.
Top Skills:
MS Office
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.