Job Description
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
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 Forecasting Data Scientist will be responsible for advanced forecasting methodologies to generate accuracy and bias improvements. She/he will be required to:
- Execute, adapt, and maintain the best Statistical models be to be used, to generate high quality demand statistical forecast with low forecast error and bias.
- Collaborate with Demand Planners to identify the right drivers and levers that influences demand and thus incorporate into the statistical forecasting process.
- Analyse the model performance every month where MAPE (Main Absolute Percentage Error) is deteriorating and post process the output, applying fine tune adjustments as needed.
- Run centralized master data check and generate (with algorithms) some complementary products' attributes like segmentation, life cycle status, and seasonality.
- Be the SME (Subject Matter Expert) that supports deployment of different Data Science projects with local and external teams.
Education / Certifications:
- Bachelor's Degree in a technical career related with Stat, Math, Computer Science or Demand is required. Master's in quantitative field of Statistics, Applied Mathematics or Engineering, with specific full-time courses in Analytics preferred.
- 2+ years applied knowledge of predictive techniques and time series analysis using statistics, machine learning, or artificial intelligence approaches.
- Experience in any Data Science language like R (preferred), Python, PySpark, Julia, or MATLAB.
- Knowledge or experience in data science cloud platforms like Databricks is a nice to have.
- 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
No Relocation support available
Business Unit Summary
Mondelēz Brasil is Mondelēz International's fourth largest operation in the world, with approximately 7,500 employees proudly producing, selling and distributing some of the most beloved brands of chewing gum, candies, powdered beverages, cream cheeses, chocolates, cookies and desserts in Brazil. We make the Brazilians' favorite products such as Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang and many others. We are truly part of the lives of Brazilians: You can find our mouth-watering products in more than 700,000 points of sale and we are present in more than 92% of Brazilian homes. Our factories are located in Vitória de Santo Antão, in the state of Pernambuco, and Curitiba, in the state of Paraná. We are also home to one of the company's 11 technology centers around the world, responsible for research and development, so we can continue to create new and innovative products, offering the right snack for the right time, done in the right way.
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.
Job Type
Regular
Data Science
Analytics & Data Science
