Data Science Apprentice Jobs in Columbus, OH (NOW HIRING)

Purpose of the Job

Lead Owens Corning's Advanced Modeling & Simulation team to shape the future of digital engineering by integrating cutting-edge AI-driven modeling, predictive simulations, and digital twin ecosystems. This role will pioneer next-generation capabilities that accelerate innovation, enable autonomous optimization, and deliver sustainable solutions across enterprise R&D.

Key Accountabilities

• Strategic Leadership: Define and execute modeling vision, including multi-physics simulations, reduced-order models, and hybrid AI/physics workflows.
• Team Development: Build and lead a high-performing team of Senior Engineers, fostering agility and growth mindset.
• Technical Excellence & Capability Development: Drive portfolio execution with rigor; oversee AI + simulation architecture, digital twins, and physics-informed ML models.
• Collaboration: Partner with Materials Science, Glass sciences, Product Development, Capital Delivery and Operations to expand modeling impact.
• Portfolio Management: Manage modeling team portfolio by prioritizing the projects per business priority and providing appropriate resource allocation to keep advancing on this strategy.

• External engagement:  Leverage external resources to accelerate learnings and advance our capabilities for fundamentals and solution development.

Technical Expertise:

Advanced Modeling & Simulation Knowledge

• Proficiency in physics-based, data-driven, and hybrid modeling approaches.
• Use science fundamentals to translate process and product needs into actionable modeling insights for accelerated development Strong background and expertise in multi-scale and multi-physics simulations (Structural, Fluid Mechanics, Thermal, Moisture, Chemical, etc.).
• Demonstrated capability in computational modeling techniques such as CFD and FEA

Digital Twin Development

• Understanding of real-time data integration, IoT connectivity, and predictive analytics.
• Familiarity with lifecycle management of digital twins (design operation optimization) and advanced controls processes

Computational Tools & Platforms

• Experience with CAE tools (ANSYS, COMSOL, Abaqus, GFM), system modeling, and cloud-based simulation platforms.

Data Science & AI Integration

• Ability to leverage machine learning for surrogate modeling, optimization, and anomaly detection.

Required Qualifications

• Advanced degree in Mechanical, Civil, Chemical, or Materials Engineering.
• 10+ years in modeling and simulation workflows with technical leadership experience.
• Expertise in CAE tools (Ansys, COMSOL) and AI/ML integration.
• Proven track record in digital twins and surrogate modeling.
• Strong working knowledge of engineering design, industry safety standards, and integrated system design with ability to apply to our manufacturing processes and product development

• Proven capabilities with Simulation Data Management (SDM) methodologies and experience with storage, organization and simulation results sharing

About Owens Corning  

Owens Corning is a residential and commercial building products leader committed to building a sustainable future through material innovation. Our products provide durable, sustainable, energy-efficient solutions that leverage our unique capabilities and market-leading positions to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2024 sales of $11.0 billion. For more information, visit www.owenscorning.com. 

Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.