IBP Supply Planning Data Scientist

Agilent · Yishun, Singapore +12 more

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Role summary

This role develops and maintains advanced inventory and supply planning models to support integrated business planning across the enterprise. The data scientist will build optimization models, refresh portfolio targets, monitor planning parameters, and deliver dashboards and scenario analyses using Python, SQL, and BI tools. A Bachelor's or Master's degree in a relevant field and 8+ years of data science experience are required.

What they're looking for

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
At least 8 years of data science or equivalent work experience
Proficiency in Python, R, or SQL programming languages
Experience with data visualization tools such as Tableau, Power BI, Qlik, or Spotfire
Strong analytical and problem-solving skills with complex data interpretation ability
Excellent written and verbal communication skills for technical and non-technical audiences
Executive presence and leadership capabilities

What you'll be doing

Develop and maintain advanced inventory and supply planning models with parameter tuning
Create data-driven insights, dashboards, and scenario models for supply planners and S&OP processes
Build and enhance inventory optimization models including safety stock and segmentation logic
Refresh portfolio inventory targets aligned with service expectations and demand patterns
Drive automation and advanced analytics using Python, SQL, and BI tools for scaling insights

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Date posted25 days ago

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