IBP Supply Planning Data Scientist - Inventory & Analytics

Agilent Technologies, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agilent Technologies, Inc. is hiring an IBP Supply Planning Data Scientist in Singapore to develop and maintain advanced inventory and supply planning models. You will refresh targets, monitor planning parameters, and help ensure reliable, efficient supply to meet demand.

You will build dashboards and scenario analyses using Python, SQL, and BI tools, partner with planning teams, and drive automation to improve data quality, model reliability, and decision making.

Qualifications

• Bachelor's or Master's degree in a data-related field.
• 8+ years of data science or equivalent experience.
• Strong background in predictive modeling, ML, and statistics.
• Programming in Python, SQL, or R.
• Experience with data visualization tools (Tableau, Power BI, Qlik, Spotfire).
• Strong analytical and communication skills, ability to present to stakeholders.

Responsibilities

• Provide data-driven insights, dashboards, and scenario modeling to support supply planners and enterprise decision-making.
• Drive continuous improvement in supply and inventory analytics and data quality.
• Develop automation and advanced analytics using Python, SQL, and BI tools to scale insights.
• Collaborate with Supply Planning Stewards to align analytics with governance and processes.
• Build and maintain inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic).
• Refresh inventory targets across the portfolio to align with service expectations and supply constraints.

Skills

Python

SQL

R

Data visualization

Education

Bachelor's or Master's Degree in Data Science, Statistics, Computer Science

Tools

Tableau

Power BI

Qlik

Spotfire

Job description

Agilent Technologies, Inc. is hiring an IBP Supply Planning Data Scientist in Singapore to develop and maintain advanced inventory and supply planning models. You will refresh targets, monitor planning parameters, and help ensure reliable, efficient supply to meet demand.

You will build dashboards and scenario analyses using Python, SQL, and BI tools, partner with planning teams, and drive automation to improve data quality, model reliability, and decision making.