Forecasting Data Scientist

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Mondelēz International

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2012

👥 B2C

🛒 Retail

B2C • Retail • Food

Mondelēz International is a global leader in the snacking industry, well-known for its iconic brands like Cadbury, Oreo, and Toblerone. The company is involved in producing and marketing a wide range of chocolate, biscuits, candy, and other snacks, which are available to consumers across the world. Mondelēz is committed to corporate governance, sustainability, and making a positive impact on communities through initiatives in diverse areas like environmental sustainability and diversity, equity, and inclusion. The company operates in various sectors, including manufacturing, marketing, and supply chain management, and has a significant presence in multiple countries.

📋 Description

• Define requirements for analysis in a given business area and perform detailed analysis and identify trends defined in the requirements • Identify patterns and help the business react to changing business conditions • Perform root-cause analysis and interpret data • Work with large amounts of data such as facts, figures, and mathematics/formulas and undertake analytical activities and deliver analysis outputs in accordance with customer needs • Collaborate with Demand Planners to provide explainability of models and gather feedback to improve the models • Lead the statistical forecasting process to provide the business a statistical base forecast for its demand planning process • Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes

🎯 Requirements

• Bachelor's Degree required • 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 • Design, build, implement and/or maintain Python/PySpark algorithms to execute predictive analysis which help to improve planning processes • Analyze code, define and implement strategies to have more accurate and efficient results • 10+ years of applied knowledge of analytical techniques in statistical modelling, machine learning with exposure to forecasting domain especially driver-based forecasting • Experience developing and deploying Statistical and/or machine learning solutions • Knowledge and experience in data science cloud platforms like Databricks (preferred) or similar • Experience on working with FMCG, Food & Beverages, Retail or similar industry data with understanding the business process will be an advantage (nice to have)

🏖️ Benefits

• Relocation support available • Minimal support is offered through our Volunteer International Transfer Policy