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Modeling Simulation Analyst Jobs in Atlanta, GA (NOW HIRING)

Use of experiments to validate models and analysis of the data; * Advanced models for the mechanical behavior of metallic materials and their use in FE simulations. * Direct or collaborative ...

Use of experiments to validate models and analysis of the data; * Advanced models for the mechanical behavior of metallic materials and their use in FE simulations. * Direct or collaborative ...

Design Engineer / On-site -USA

Alpharetta, GA · On-site

$73K - $99K/yr

Perform tolerance analysis and ensure designs meet industry standards and regulations. * Sheet ... Proficiency in SolidWorks, including advanced modeling, simulation, and drafting capabilities.

Modeler 1

Atlanta, GA · On-site

$70K - $78K/yr

Under supervision, applies knowledge of science or engineering in the use of mathematical models to simulate natural systems and to analyze the consequences of future conditions and management ...

AWS Architect

Atlanta, GA

$62.25 - $81.75/hr

Performs advanced systems modeling, simulation, and analysis to guide major architecture and procurement decisions. Acts as a subject-matter expert to multiple tasks and/or programs, but self-aware ...

Power Electronics Engineer I

Hampton, GA · On-site

$109K - $129K/yr

... analysis, and iterative refinement. * Lead prototyping efforts, including hardware assembly ... Conduct detailed simulations and modeling using tools like MATLAB/Simulink, LTSpice, or PLECS to ...

Demonstrated proficiency with Autodesk 3D Studio Max, including modeling, texturing, lighting, and ... For the Managing Technical Consultant, Data Analytics & Visualization position, the anticipated ...

Showing results 41-60

Modeling Simulation Analyst information

See Atlanta, GA salary details

$37.5K

$97.4K

$138.5K

How much do modeling simulation analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for modeling simulation analyst in Atlanta, GA is $97,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $124,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a modeling simulation analyst, and why are they important?

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

What is the difference between Modeling Simulation Analyst vs Data Analyst?

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

What are popular job titles related to Modeling Simulation Analyst jobs in Atlanta, GA?

For Modeling Simulation Analyst jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Modeling Simulation Analyst jobs in Atlanta, GA look for?

The top searched job categories for Modeling Simulation Analyst jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Modeling Simulation Analyst jobs?

Cities near Atlanta, GA with the most Modeling Simulation Analyst job openings:

Modeling Scientist

Novelis

Kennesaw, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 hours ago


Novelis rating

7.5

Company rating: 7.5 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

264th of 540 rated manufacturers


Job description

Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.


The Modeling team, located in Kennesaw, GA is seeking a Modeling Scientist. This role is responsible for the development and deployment of multi-physics, multiscale materials modeling and physics guided artificial intelligence modeling capability within Novelis to accelerate discovery and development of sustainable products and processes.

A major focus is bridging microstructural length scales, as applied to Novelis’ products (aluminum sheet and plate) and its manufacturing processes (aluminum casting, rolling, heat treatments etc.), and development of a deeper understanding of alloy chemistry - thermomechanical processing – microstructure – property – product performance relationships using physics-based approaches like large scale crystal plasticity finite element modeling and data-driven approaches like machine learning and high-throughput computations.

Working closely with the metallurgists, product, process, and application engineers at the Customer Solution Centers, the successful applicant will apply their modeling expertise to a variety of technical challenges related to industrial sheet metal production and the manufacturing of complex products. The successful applicant will have the ability to gather critical materials inputs for their models as well as to test their ideas under close to real-world conditions by employing Novelis’ substantial laboratory testing and characterization facilities and pilot-scale equipment before scale-up to Novelis plants or customer operations.

There will be opportunity to travel, to collaborate with our extensive network of academic and industrial partners, colleagues in Novelis’ worldwide plants, regional research and technology centers and Customer Solution Centers around the globe and to directly support our customers. The role will involve working in and leading multi-disciplinary teams to combine modeling with experimental work for maximum impact on the speed and depth of our materials research. The role provides significant potential for technical growth and a real chance to impact the future success of Novelis’ global businesses.

Responsibilities
  • Act as company-wide subject matter expert for multiscale, multiphysics modeling and application of machine learning to materials modeling in support of global R&D projects.
  • Establish advanced materials and data driven models to develop capabilities that will guide and accelerate development of transformational and sustainable products and processes.
  • Design, develop, and validate statistical and machine learning models for prediction, optimization, and simulation
  • Build endtoend ML workflows and pipelines, including data ingestion, feature engineering, training, evaluation, versioning, and deployment
  • Define and lead modeling driven projects to address critical product and process development challenges.
  • Partner with wide range of internal specialists to develop solutions e.g., with product metallurgists, rolling process engineers, formability, surface, corrosion and computational material scientists.
  • Establish and lead supporting partnerships with universities, national labs and other external organizations.
  • Support wider adoption and application of both physics and data driven modeling tools amongst other specialists.
  • Collaborate with colleagues to develop associated experimental programs that provide supporting data or understanding critical to model development.
Minimum qualifications
  • PhD in metallurgy, metallurgical engineering, materials science/engineering or mechanical engineering.
  • Minimum experience of 2+ years in multiscale, multiphysics modeling and application of machine learning after PhD completion gained in industrial R&D or in partnership with industry.
  • Candidates will have experience in the use of LS-DYNA, Abaqus, ANSYS, COMSOL or other well-known commercial FE software, as well as in some of the following:
    • Large scale crystal plasticity modeling, e.g., CPFEM, DAMASK, VPSC.
    • Multiphysics modeling e.g., fully and sequentially coupled thermo – electro – mechanical – magnetic analysis and computational fluid dynamics.
    • FE Pre/post processors, user subroutines.
  • Strong foundation in statistical modeling, machine learning algorithms, and model evaluation techniques and application to materials modeling.
  • Strong programming skills in Python; experience with SQL, data-intensive systems, and cloud systems (e.g. Microsoft Azure)
  • Demonstrated experience building ML workflows, pipelines and web applications or interactive dashboards
  • Technical leadership experience in R&D with demonstration of good project management skills.
  • Broad science and engineering background and ability to connect knowledge across multiple disciplines.
  • Capability to thrive in a team environment, communicate well, and to engage and influence wide variety of stakeholders throughout the organization.
  • International outlook and desire to travel to other Novelis or customer locations.
Preferred qualifications
  • Applicants are particularly sought who combine strong modeling capabilities with specialized capabilities in the following areas:
    • Mechanical behavior of metals, in particular forming, texture evolution, damage and fracture of aluminum alloys;
    • Metallurgy of aluminum alloys;
    • Use of experiments to validate models and analysis of the data;
    • Advanced models for the mechanical behavior of metallic materials and their use in FE simulations.
  • Direct or collaborative experience in experimental validation of computational models
  • Experience designing or implementing agnetic AI systems

Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship.

What We Offer:

Novelis benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, competitive in the marketplace, and affordable. These are a few of the benefits we offer to support you and your family’s well-being:

  • Medical, dental and vision insurance
  • Health savings accounts – Company Funded Health Savings Account (HSA) and Health Reimbursement Account (HRA)
  • Flexible Spending Account (FSA)
  • Company-paid basic life insurance and Additional voluntary life coverage
  • Paid vacation and competitive personal time off
  • 401(k) savings plan with company match
  • Retiree Medical Plans – medical and prescription drug coverage through Novelis sponsored Retiree Health Access
  • Retirement Savings Account
  • Employee assistance programs – available 24/7 to you and your family
  • Wellness and Work Life Support - career development and educational assistance

#LI-NT


Novelis’ Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators.

Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.


We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:
1. Check the job posting is live and valid via our careers page: Careers - Novelis
2. Verify any communication with us by contacting our talent team at Careers - Novelis


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