IBP Supply Planning Data Scientist: Inventory & Forecasting

Agilent Technologies; Bayan Lepas; On-site; MYR 180,000 - 240,000; Full time

Job summary

Agilent Technologies in Penang seeks a data-driven IBP Data Scientist to deliver insights, dashboards, and scenario modeling for supply planning and enterprise decisions.

The role emphasizes inventory analytics, model development for safety stock and reorder logic, and advancing analytics with Python, SQL, and BI tools, collaborating with cross-functional teams to improve service levels and forecast reliability.

Qualifications

• Degree in data-related field; 8+ years in data science or equivalent.
• Proficiency in predictive modeling and machine learning techniques.
• Strong communication and ability to present to non-technical stakeholders.

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

Statistical analysis

Python

R

SQL

Tableau

Power BI

Qlik

Spotfire

Communication skills

Leadership

Education

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

Tools

Tableau

Power BI

Qlik

Spotfire

Job description

Agilent Technologies in Penang seeks a data-driven IBP Data Scientist to deliver insights, dashboards, and scenario modeling for supply planning and enterprise decisions.

The role emphasizes inventory analytics, model development for safety stock and reorder logic, and advancing analytics with Python, SQL, and BI tools, collaborating with cross-functional teams to improve service levels and forecast reliability.