IBP Supply Planning Data Scientist

Quick Facts

• Full-time role with occasional travel
• Focus on data science for IBP supply and inventory planning

Description

Build and maintain advanced inventory and supply planning models for Integrated Business Planning (IBP). Deliver data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making. Automate analytics using Python, SQL, and BI tools while continuously improving data quality and model reliability.

Responsibilities

• Provide insights, dashboards, and scenario modeling for supply planning and enterprise decisions
• Drive continuous improvement in supply/inventory analytics, data quality, and model reliability
• Automate advanced analytics to scale insights
• Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability rules, reorder logic)
• Refresh inventory targets and align them with service expectations, demand patterns, and supply constraints
• Monitor and tune key inventory parameters (lead times, variability, cycle stock inputs, yield factors)
• Analyze inventory health and replenishment performance; identify shortages, excess, and age issues
• Perform inventory-focused scenario analysis for demand changes and supply disruptions
• Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)
• Generate dashboards and KPIs for plan stability, attainment, constraint exposure, and readiness
• Enable S&OE/S&OP with near-term supply-demand coverage analytics and early warning indicators
• Develop supply-focused decision support models (scenario models, coverage calculators, constraint dashboards)

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field
• Typically 8+ years of experience in data science or equivalent
• Extensive knowledge of predictive modeling, machine learning, and statistical analysis
• Proficiency in Python, R, or SQL
• Experience with Tableau, Power BI, Qlik, Spotfire, or similar tools
• Strong analytical and problem-solving skills
• Excellent communication skills (written and verbal) for non-technical stakeholders
• Ability to work independently and in a team in a fast-paced environment
• Strong executive presence and leadership; ability to engage with management

Benefits

• Pay and benefits vary by role, level, and location; recruiter shares specific range during hiring
• Country-specific pay/benefits information available on the careers website