Mondelez International Data Scientist in Indiana
Are You Ready to Make It Happen at Mondelēz International?
Join our mission to change the way the world snacks. Make It With Pride.
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.
How you will contribute
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
Advise on the details of data structures and associated components
Manage the iteration, review and maintenance of data requirements and data models and you will assist in creating the sematic layer of data
Have cross-functional understanding to create reusable data assets
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
Rationalize the relationships expressed in the logical data model to the schema of the physical data store (that is, database tables and columns)
What you will bring
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
More about this role
What you need to know about this position:
The Data Scientist forecasting will be responsible for advanced forecasting methodologies for demand forecasting to generate better forecasting results in terms of accuracy and bias
Determine, create and maintain the best Statistical 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 lever which influences demand and thus incorporate in statistical forecasting process
Support SAS Implementation for market for demand modelling in SAS and SAS Model Forecast Improvement activity. Keep close liaison with SAS implementation partner to get transitioned process to Central Analytics Team
Refine forecasting models, by reviewing forecast performance and incorporating feedback from the Demand Planner, to improve forecast error and bias metrics
Analyze the model performance every month / week where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output and if required finetune the output
Propose additional data elements which we can consume and work with ETL developer to get those into SAS staging and SAS ABT (Analytics Based Tables)
Run demand-supply segmentation analysis as per defined frequency
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 any of SAS Base, SAS VF (Visual Forecasting), SAS Visual Statistics, etc preferred
5+ years applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver based forecasting
Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage
Should be able to articulate data science outcome into business understandable language
Fluent English is a must
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including Oreo and Chips Ahoy! cookies, Ritz , Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products —are close at hand for our consumers across the country.
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.
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands – both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
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