SCM Data Scientist, Agricultural Solutions APAC

Objectives of the position

• Drive continuous improvement across the Asia Pacific Regional Supply Chain for Agricultural Solutions by leveraging data analytics to identify inefficiencies and implement data-driven solutions.
• This role also leads digitalization and automation efforts, including data extraction, dashboard development in Power BI, and predictive analytics enablement.

Main Tasks

Advanced Analytics & Modeling

• Develop predictive models for demand forecasting, inventory optimization, and lead time prediction.
• Apply machine learning techniques (e.g., anomaly detection, planning data analysis) to large datasets to solve supply chain challenges.

Data Engineering & Automation

• Manage and transform large datasets from ERP and planning systems (e.g., SAP).
• Build automated data pipelines using Python, SQL, or similar tools.

Decision Support & Scenario Planning

• Create simulation and optimization tools to support strategic planning and what-if analysis.
• Monitor and refine models to ensure optimal performance.

Digital Supply Chain Projects

• Lead or co-lead digital transformation initiatives (e.g., control towers, predictive maintenance, AI in logistics).
• Collaborate with IT and data teams to enhance infrastructure and modeling capabilities.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Supply Chain, or related fields.
• Minimum 3 years of experience in Supply Chain Analytics, Data Science, or quantitative modeling.
• Proficient in Python or R; strong SQL skills.
• Experience with cloud platforms (e.g., Snowflake, Azure, AWS) and machine learning libraries (e.g., scikit-learn, TensorFlow).
• Familiarity with Supply Chain Planning and Execution Systems (e.g., SAP IBP, Kinaxis).