IBP Supply Planning Data Scientist: Optimize Inventory

CIELO TALENT PTE. LTD.; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

Agilent Technologies in Singapore seeks 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 meet demand reliably.

You will build dashboards, perform scenario modeling, and drive automation using Python, SQL, and BI tools, collaborating with planning stewards to ensure governance and process maturity.

Qualifications

• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
• Typically, at least 8 years of experience in data science or equivalent work experience.
• Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
• Proficiency in programming languages such as Python, R, or 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.
• Excellent communication skills, with the ability to effectively engage with different levels of management.

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

Leadership

Teamwork

Education

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

Tools

Python

R

SQL

Tableau

Power BI

Qlik

Spotfire

Job description

Agilent Technologies in Singapore seeks 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 meet demand reliably.

You will build dashboards, perform scenario modeling, and drive automation using Python, SQL, and BI tools, collaborating with planning stewards to ensure governance and process maturity.