IBP Supply Planning Data Scientist

Scorpion Therapeutics; Town of Texas (WI); On-site; USD 140,000 - 200,000; Full time

Job summary

Scorpion Therapeutics is seeking an IBP Supply Planning Data Scientist to support enterprise demand and supply planning transformation. Develop advanced inventory models, refresh portfolio targets, monitor planning parameters, and deliver data-driven insights and dashboards to improve supply chain reliability.

The role emphasizes automation, scenario analysis, and continuous improvement in supply analytics, partnering with supply planners to align models with standards and process maturity.

Qualifications

• 8+ years in data science or equivalent
• Experience in predictive modeling, ML techniques, and data visualization
• Strong analytical, problem-solving, and communication skills

Responsibilities

• Develop advanced inventory models and forecasting capabilities.
• Refresh portfolio targets and monitor planning parameters.
• Provide data-driven insights and dashboards to optimize supply chain reliability and efficiency.

Skills

Predictive modeling

Machine Learning

Python

SQL

Data visualization

Communication skills

Education

Bachelor's degree in Data Science/Statistics/related field

Master's degree in Data Science/Statistics/related field

Tools

Tableau

Power BI

Excel

Job description

Role:

IBP Supply Planning Data Scientist supporting Agilent's enterprise demand and supply planning transformation. Responsibilities include developing advanced inventory models, refreshing portfolio targets, monitoring planning parameters, and providing data-driven insights and dashboards to optimize supply chain reliability and efficiency. The role emphasizes automation, scenario analysis, and continuous improvement in supply analytics, partnering with supply planners to align models with standards and process maturity.

Qualifications:

Bachelor's or Master's in Data Science, Statistics, or related field; 8+ years in data science or equivalent; expertise in predictive modeling, machine learning, Python, SQL, and data visualization tools; strong analytical, problem-solving, and communication skills.

Preferred:

Experience in supply planning/forecasting in commercial settings, cloud platform familiarity, and advanced ML techniques.

High-Value:

Focus on inventory optimization, scenario modeling, and supply chain analytics within a biopharma or high-tech manufacturing context.

Work setup:

Full-time, day shift, with occasional travel.