IBP Supply Analytics Scientist - Inventory Optimization

Agilent Technologies; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Agilent Technologies in Singapore is seeking an IBP Supply Planning Data Scientist to develop and maintain advanced inventory and supply planning models, refresh portfolio targets, and monitor key planning parameters to help the business meet demand reliably.

You will provide data-driven insights, dashboards, and scenario models for supply planners and S&OP processes, drive automation and analytics with Python, SQL, and BI tools, and collaborate with Planning Excellence Team to align analytics

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, CS.
• Typically at least 8 years of experience in data science.
• Proficiency in programming languages such as Python, SQL.
• Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong executive presence and leadership skills.

Responsibilities

• Provide data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in supply and inventory analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts
• Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic)
• Refresh inventory targets across the portfolio and ensure alignment with service expectations, demand patterns, and supply constraints
• Monitor and tune critical inventory parameters (lead times, variability, cycle stock inputs, yield factors) based on actual system performance
• Analyze inventory health (target adherence, shortages, excess, age, replenishment performance) and provide insights to planners and leaders
• Provide inventory-focused scenario analysis for demand changes, supply disruptions, or service-level shifts
• Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)
• Generate dashboards and KPIs that reflect supply plan stability, attainment, constraint exposure, and readiness
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
• Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards) for decision support

Skills

Data science

Predictive modeling

Machine learning

Python

SQL

Data visualization

Communication

Independent worker

Leadership

Education

Bachelor's or Master's in Data Science, Statistics, CS

Tools

Tableau

Power BI

SQL

Python

Job description

Agilent Technologies in Singapore is seeking an IBP Supply Planning Data Scientist to develop and maintain advanced inventory and supply planning models, refresh portfolio targets, and monitor key planning parameters to help the business meet demand reliably.

You will provide data-driven insights, dashboards, and scenario models for supply planners and S&OP processes, drive automation and analytics with Python, SQL, and BI tools, and collaborate with Planning Excellence Team to align analytics