IBP Supply Planning Data Scientist: Forecast & Optimize

Agilent Technologies; Folsom (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Agilent Technologies in Folsom, CA is seeking an experienced Data Scientist for Integrated Business Planning (IBP). The role delivers data-driven insights, dashboards, and scenario modeling to support supply planners and enterprise decisions, focusing on inventory analytics and optimization.

You will use Python, SQL and BI tools to build models, monitor inventory health, and enable near-term demand-supply coverage.

Qualifications

• 8+ years of data science or equivalent experience.
• Proficiency in Python, R, or SQL.
• Experience with data visualization tools (Tableau/Power BI/Qlik/Spotfire).
• Strong analytical and problem-solving skills; able to interpret complex data.
• Excellent written and verbal communication; able to present to non-technical stakeholders.
• Ability to work independently and in a fast-paced team.

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 using Python, SQL, and BI tools to scale insights.
• Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity.
• Build 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).
• 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 reflecting supply plan stability and readiness.
• Enable S&OE/S&OP with near-term supply-demand coverage analytics and early warning indicators.
• Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards).

Skills

Python

SQL

R

Data Visualization

Statistical Analysis

Communication

Leadership

Tableau

Power BI

Education

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

Tools

Tableau

Power BI

Qlik

Spotfire

Job description

Agilent Technologies in Folsom, CA is seeking an experienced Data Scientist for Integrated Business Planning (IBP). The role delivers data-driven insights, dashboards, and scenario modeling to support supply planners and enterprise decisions, focusing on inventory analytics and optimization.

You will use Python, SQL and BI tools to build models, monitor inventory health, and enable near-term demand-supply coverage.