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Agent Based Modeling Scientist Jobs in Ohio (NOW HIRING)

Experience developing and deploying LLM-based applications using commercial or open-source models ... Experience with agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel ...

... agent-based AI solutions. • Evaluate and integrate foundation models from providers such as ... Required : • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or ...

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... Strong applied expertise across core ML techniques, including regression, tree based models ...

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... Strong applied expertise across core ML techniques, including regression, tree based models ...

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

Showing results 41-60

Agent Based Modeling Scientist information

What is the difference between Agent Based Modeling Scientist vs Data Scientist?

AspectAgent Based Modeling ScientistData Scientist
Required CredentialsMaster's or PhD in computer science, mathematics, or related fields; experience with modeling and simulationDegree in statistics, computer science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentResearch labs, academia, or industry focused on simulation and modeling projectsBusiness, tech companies, or consulting firms analyzing large datasets
Industry UsageResearch, simulation, complex systems modelingData analysis, predictive modeling, business insights

While both roles require strong analytical skills and programming knowledge, an Agent Based Modeling Scientist specializes in creating simulations of autonomous agents within complex systems, whereas a Data Scientist focuses on analyzing and interpreting large datasets to inform business decisions.

What are the key skills and qualifications needed to thrive as an agent based modeling scientist, and why are they important?

To thrive as an Agent Based Modeling Scientist, you need expertise in computational modeling, systems theory, and a strong background in mathematics or related fields, often supported by an advanced degree. Proficiency with programming languages such as Python, Java, or NetLogo and familiarity with simulation software are typically required. Analytical thinking, problem-solving, and the ability to communicate complex concepts clearly are valuable soft skills in this role. These skills are crucial for accurately developing, interpreting, and conveying insights from agent-based models to inform research or decision-making.

How does an agent based modeling scientist typically collaborate with interdisciplinary teams during a project?

Agent Based Modeling Scientists often work closely with experts from fields such as economics, epidemiology, engineering, and computer science to ensure that models accurately reflect real-world systems. Collaboration usually involves regular meetings to define system parameters, validate model assumptions, and interpret simulation results. Effective communication is essential, as team members may not always be familiar with agent-based modeling concepts. Sharing insights and translating technical findings for broader audiences helps ensure models are both robust and actionable for decision-makers.

What is an agent based modeling scientist?

An Agent Based Modeling (ABM) Scientist is a researcher or professional who develops computational models that simulate the actions and interactions of autonomous agents (such as individuals, groups, or entities) to study complex systems. These scientists use ABM techniques to analyze how the behavior of individual agents leads to collective outcomes, often in fields like biology, economics, social sciences, and epidemiology. Their work involves designing models, running simulations, and interpreting data to gain insights into system dynamics and emergent phenomena.

What are popular job titles related to Agent Based Modeling Scientist jobs in Ohio?

For Agent Based Modeling Scientist jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Agent Based Modeling Scientist jobs in Ohio look for?

The top searched job categories for Agent Based Modeling Scientist jobs in Ohio are:

What cities in Ohio are hiring for Agent Based Modeling Scientist jobs?

Cities in Ohio with the most Agent Based Modeling Scientist job openings:

Advanced Engineer R & D: CFD Modeling & Simulation

Owens Corning

Granville, OH • On-site

Full-time

Posted 23 days ago


Owens Corning rating

8.0

Company rating: 8.0 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

136th of 539 rated manufacturers


Job description

Owens Corning is seeking an Advanced CFD Modeling Engineer with deep experience applying computational fluid dynamics, heat transfer, turbulence, multiphase flow, combustion, particle transport, and transport phenomena to solve complex industrial and manufacturing challenges. Proven ability to translate physics-based simulation into practical engineering decisions that improve process performance, accelerate innovation, reduce testing cycles, de-risk capital projects, and create measurable business value.

Recognized for modeling capability through standardized workflows, validated modeling methods, automation, external technical partnerships, and digital engineering practices. Effective cross-functional partner across R&D, operations, engineering, capital delivery, and business teams, with a strong track record of influencing technical direction and enabling model-based decision making.

Technical Expertise 

Champion Safety and Owens Corning Values

  • Demonstrate an uncompromising commitment to safety.
  • Ensure appropriate use of data, models, and engineering recommendations.
  • Foster a culture of: Caring, Curious, Collaborative, Committed
  • Model inclusive leadership and strong technical stewardship.

Computational Fluid Dynamics and Physics-Based Modeling

  • Develop and apply high-fidelity CFD models for fluid flow, heat transfer, turbulence, multiphase systems, combustion, mixing, particle transport, and material processing.
  • Use simulation to evaluate process design, operating windows, scale-up risk, manufacturing performance, and product/process innovation opportunities.
  • Translate model outputs into clear engineering recommendations for technical and business stakeholders.
  • Build validated modeling approaches by connecting simulation results with experimental, lab, pilot, and manufacturing data.
  • Apply digital engineering methods to reduce physical testing, shorten development cycles, and improve decision confidence.
  • Demonstrate familiarity with structural modeling concepts and the ability to connect CFD insights with structural, thermal-mechanical, or materials performance considerations where appropriate.
  • Use Simulation Data Management (SDM) tools and practices to organize simulation data, capture new modeling concepts, preserve learnings, and improve accessibility of validated methods across teams.
  • Implement AI, machine learning, surrogate modeling, and automation concepts to improve modeling productivity and accessibility.

Professional Experience Highlights

  • Lead CFD and computational modeling efforts supporting new product development, process innovation, manufacturing troubleshooting, capital project design, and customer-facing technical challenges.
  • Partner with cross-functional teams to identify high-value modeling opportunities and prioritize simulation work based on business impact, technical risk, and urgency.
  • Create reusable modeling workflows, templates, validation practices, and automation approaches to improve modeling speed, quality, and scalability.
  • Mentor engineers and scientists in CFD fundamentals, simulation methodology, model validation, and interpretation of results.
  • Contribute to advanced modeling roadmaps, digital transformation initiatives, and enterprise adoption of simulation-first engineering practices.

External Technical Ecosystem and Capability Building

  • Establish and manage technical partnerships with universities, national laboratories, software vendors, engineering consultants, research institutes, and global contractor resources.
  • Define modeling scopes of work, technical deliverables, quality expectations, and validation standards for external simulation partners.
  • Evaluate emerging computational technologies and identified opportunities to strengthen enterprise modeling capability.
  • Leverage external expertise to accelerate innovation, expand CFD capacity, and access specialized computational methods.

Education and Qualifications

  • Advanced degree in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, Materials Science, Applied Physics, or related engineering discipline.
  • 10+ years of experience applying CFD and computational modeling to industrial engineering, product development, manufacturing, or process technology challenges.
  • Deep technical foundation in fluid mechanics, heat transfer, turbulence modeling, numerical methods, multiphase flow, combustion, particle transport, and transport phenomena.
  • Demonstrated success leading technically complex modeling projects with measurable business impact.
  • Strong ability to communicate complex simulation insights to technical experts, operations teams, business leaders, and cross-functional stakeholders.

Technical Skills

  • CFD Platforms: ANSYS Fluent, ANSYS CFX, STAR-CCM+, COMSOL, OpenFOAM
  • Programming and Automation: Python, MATLAB, workflow automation, scripting, model templating
  • Methods: Turbulence modeling, conjugate heat transfer, multiphase flow, combustion, particle tracking, mixing, transport phenomena, scale-up modeling
  • Digital Engineering: Digital twins, surrogate models, machine learning workflows, simulation-data integration, model validation
  • Simulation Data Management: SDM platforms, simulation data organization, model traceability, knowledge capture, reusable workflows, and concept documentation
  • Business Applications: Manufacturing optimization, process troubleshooting, capital project support, innovation acceleration, technical risk reduction

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About Owens Corning  

Owens Corning is a branded building products leader with three complementary market-leading businesses providing roofing, insulation, and doors primarily for residential markets in North America and Europe. The company operates with an integrated go-to-market strategy and a unique set of OC Advantages - including its iconic brand, unparalleled commercial strength, leading technology, and winning cost position - to help customers win and grow in the market. Owens Corning is committed to helping build better and achieve more through winning partnerships, leading performance, and engaging people. Founded in 1938 and headquartered in Toledo, Ohio, Owens Corning is listed on the New York Stock Exchange (NYSE: OC). 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.


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About OWENS CORNING

Sourced by ZipRecruiter

Owens Corning (OC) develops, manufactures and markets insulation, roofing, and fiberglass composites. Global in scope and human in scale, the company's market-leading businesses use their deep expertise in materials, manufacturing and building science to develop products and systems that save energy and improve comfort in commercial and residential buildings. Through its glass reinforcements business, the company makes thousands of products lighter, stronger and more durable. Ultimately, Owens Corning people and products make the world a better place. Based in Toledo, Ohio, Owens Corning posted 2017 sales of $6.4 billion and employs 19,000 people in 37 countries. It has been a Fortune 500® company for 64 consecutive years. For more information, please visit www.owenscorning.com. A career at Owens Corning offers the ability to enhance your expertise and achieve your personal and professional aspirations. Through it all, we'll empower you with an environment that encourages open communication and big ideas, competitive pay for your performance, comprehensive benefits, and more opportunities to make your impact.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Toledo, OH, US

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