Forecasting Data Scientist

Descrição do emprego

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:

- 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.
- 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

Apoio para Relocação Disponível?

Sem ajuda de transferência disponível

Resumo da unidade de negócios

A Mondelēz Brasil é a quarta maior operação da Mondelēz International no mundo, com aproximadamente 7.500 empregados que orgulhosamente produzem, vendem e distribuem algumas das marcas mais queridas de chicletes, balas, bebidas em pó, queijos cremosos, chocolates, biscoitos e sobremesas no Brasil. Fabricamos os produtos preferidos dos brasileiros, como Bis, Lacta, Oreo, Club Social, Sonho de Valsa, Trakinas, Trident, Halls, Royal, Tang e muitos outros. Nós realmente fazemos parte da vida dos brasileiros: Você pode encontrar nossos produtos de dar água na boca em mais de 700.000 pontos de venda e estamos presentes em mais de 92% dos lares brasileiros. Nossas fábricas estão localizadas em Vitória de Santo Antão, no estado de Pernambuco, e em Curitiba, no estado do Paraná. Também abrigamos um dos 11 centros de tecnologia que a empresa tem em todo o mundo, e qu é o responsável pela pesquisa e desenvolvimento, para que nós possamos continuar a criar produtos novos e inovadores, oferecendo o snack certo, no momento certo, produzido da maneira certa.

Tipo de Emprego

Comum

Data Science

Analytics & Data Science