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

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)

Forecasting Data Scientist

Key skills