Lead Data Scientist, Supply Chain Analytics & MRP

Sierra Space Corporation; Louisville (KY); On-site; USD 129,000 - 177,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) with 150% match up to 6%

Life insurance

Paid time off (3 weeks)

Job summary

Sierra Space Corporation is seeking a Lead Supply Chain Data Scientist in Louisville to drive advanced analytics across our supply chain, focusing on MRP accuracy, inventory optimization, and production scheduling. This role blends data science with strategic leadership to transform complex data into actionable business insights.

The candidate will lead analytics and AI initiatives, develop metrics platforms for leadership, and collaborate with procurement, manufacturing, and IT to align MRP

Qualifications

• Bachelor's degree in a related field (or equivalent work experience)
• Typically 8+ years in material/production planning or analytics
• Experience with SAP MRP and data visualization tools (Power BI)
• Advanced Excel skills (including VBA) and SQL
• Programming in Python, R, and SQL
• Strong understanding of IT systems, CI/CD, and business processes

Responsibilities

• Develop analytics strategies aligned with supply chain objectives and translate data into insights
• Apply statistical and machine learning techniques to analyze complex datasets
• Configure, maintain, and optimize SAP MRP parameters to maximize service levels
• Own the accuracy, performance, and optimization of the MRP system
• Monitor inventory levels and identify trends and optimization opportunities
• Lead analytics initiatives and mentor analysts or data scientists

Skills

Strategic Analytics

AI Leadership

Cross-functional Leadership

Communication

Education

Bachelor's degree in Supply Chain Management, Analytics, Data Science, Engineering, or related field

Tools

SAP MRP

Power BI

Excel (Advanced)

SQL

Python

R

Job description

Sierra Space Corporation is seeking a Lead Supply Chain Data Scientist in Louisville to drive advanced analytics across our supply chain, focusing on MRP accuracy, inventory optimization, and production scheduling. This role blends data science with strategic leadership to transform complex data into actionable business insights.

The candidate will lead analytics and AI initiatives, develop metrics platforms for leadership, and collaborate with procurement, manufacturing, and IT to align MRP