Data Scientist - Advanced Manufacturing

Global Footprint & Capacity Data Analysis

• Design, build, and maintain scalable analytical frameworks and data models that enable rapid, data-driven decision making related to capacity allocation, footprint strategy, and growth planning.
• Develop constraint detection logic, capacity utilization metrics, and early-warning indicators to proactively surface risks before they impact customer commitments.
• Translate complex, multi-source datasets into clear insights, scenarios, and recommendations for executive and customer-facing decision making.
• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

Capacity Planning & Optimization

• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

 

Cross-Functional & Global Analytics Collaboration

• Collaborate with Engineering, Operations, Supply Chain, and Finance to define analytical assumptions, data definitions, and decision criteria for strategic manufacturing initiatives.
• Coordinate across global teams to standardize analytics methodologies, models, and planning tools for footprint and capacity analysis.
• Drive regional alignment and standardization of global data analytics best practices to support consistency and drive process maturity

Data-Driven Decision Intelligence

• Leverage and integrate data from MES, ERP, capacity planning tools, and external sources to support strategic manufacturing analysis.
• Design and maintain cost, utilization, and capacity models that enable fast, repeatable scenario evaluation and executive decision making.
• Translate complex datasets into clear insights, visualizations, and recommendations for senior leadership and customer-facing discussions.

Process Standardization & Scalable Analytics

• Enable scalable manufacturing strategies by embedding analytics into modular BoP approaches and digital factory initiatives.
• Support new product introductions by applying data-driven manufacturability and capacity-readiness assessments early in the design and planning process.
• Continuously improve analytical frameworks to enhance speed, accuracy, and consistency of global footprint and capacity decisions.Global Footprint & Capacity Data Analysis
• Design, build, and maintain scalable analytical frameworks and data models that enable rapid, data-driven decision making related to capacity allocation, footprint strategy, and growth planning.
• Develop constraint detection logic, capacity utilization metrics, and early-warning indicators to proactively surface risks before they impact customer commitments.
• Translate complex, multi-source datasets into clear insights, scenarios, and recommendations for executive and customer-facing decision making.
• Build and maintain capacity, throughput, and utilization models across multiple product lines to identify constraints, bottlenecks, and scaling limits.
• Conduct scenario analysis, sensitivity modeling, and what-if simulations to optimize plant loading, equipment utilization, and capital investment decisions.
• Partner with regional and site teams to translate demand forecasts and variability into capacity insights, enabling proactive constraint management.

Education and Requirements 

• Bachelor’s Degree in: Data Science/Analytics/Statistics, Computer Science, Industrial Engineering, Operations Research, Manufacturing Engineering, Supply Chain / Logistics, Mathematics, Physics, or Economics (quantitative focus)
• 3-5+ years of experience in data analysis, manufacturing analytics, capacity planning, or operations strategy.
• Proven experience with global manufacturing operations, footprint optimization, or capacity modeling.
• Experience building analytical frameworks, scenario models, or data-driven decision tools for executives or cross-functional teams.
• Demonstrat