Data Scientist Job Description Are You Ready to Make It Happen at Mondelz 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 You will: + 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 Mondelz 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. Mondelz 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 for assistance. Job Type Regular Data Science Analytics & Data Science At Mondelz 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!