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Freelance Computational Modeling Scientist Jobs (NOW HIRING)

The Lead Modeling Scientist has a key role in advancing Novelis' capabilities in computational modeling, with the primary objective of linking aluminum sheet process conditions, microstructure and ...

Broad science and engineering background and ability to connect knowledge across multiple ... Direct or collaborative experience in experimental validation of computational models * Experience ...

Direct or collaborative experience in experimental validation of computational models * Experience ... metallurgists chemists scientists technologists and technicians. The facility includes ...

Broad science and engineering background and ability to connect knowledge across multiple ... Direct or collaborative experience in experimental validation of computational models * Experience ...

Computational Fluid Dynamics Engineer

Spring, TX · On-site

$102.70K - $121.10K/yr

... Sciences Job Role Description Computational Engineer - Advanced is skilled in designing and building computational modeling systems and implementing / optimizing computational algorithms for ...

Computational Fluid Dynamics Engineer

Spring, TX · On-site

$102.70K - $121.10K/yr

... Sciences Job Role Description Computational Engineer - Advanced is skilled in designing and building computational modeling systems and implementing / optimizing computational algorithms for ...

... Sciences Job Role Description Computational Engineer - Advanced is skilled in designing and building computational modeling systems and implementing / optimizing computational algorithms for ...

... pace of computational science technology development and deployment. * Frame computational ... Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics ...

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Freelance Computational Modeling Scientist information

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$50.5K

$111.3K

$137.5K

How much do freelance computational modeling scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for freelance computational modeling scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Computational Modeling Scientist vs Data Scientist?

AspectFreelance Computational Modeling ScientistData Scientist
CredentialsTypically requires advanced degrees in computational science, physics, or related fieldsUsually holds degrees in statistics, computer science, or related disciplines
Work EnvironmentIndependent or contract-based, often remote, working on specific modeling projectsOften employed full-time in corporate, tech, or research settings
Industry UsageUsed in research, engineering, and scientific consultingCommon in tech, finance, healthcare, and marketing sectors
Search & Comparison IntentPeople compare to understand freelance modeling roles versus data analysis roles

The main difference is that Freelance Computational Modeling Scientists focus on developing complex models independently, often in scientific or engineering contexts, while Data Scientists analyze data to extract insights within organizational settings. Both roles require strong technical skills, but their work environments and project types differ significantly.

More about Freelance Computational Modeling Scientist jobs
What cities are hiring for Freelance Computational Modeling Scientist jobs? Cities with the most Freelance Computational Modeling Scientist job openings:
What are the most commonly searched types of Computational Modeling Scientist jobs? The most popular types of Computational Modeling Scientist jobs are:
What states have the most Freelance Computational Modeling Scientist jobs? States with the most job openings for Freelance Computational Modeling Scientist jobs include:
What job categories do people searching Freelance Computational Modeling Scientist jobs look for? The top searched job categories for Freelance Computational Modeling Scientist jobs are:
Infographic showing various Freelance Computational Modeling Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Lead Modeling Scientist

Novelis Global R&T

Kennesaw, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Position Overview
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.
Responsibilities & Qualifications
The Lead Modeling Scientist has a key role in advancing Novelis' capabilities in computational modeling, with the primary objective of linking aluminum sheet process conditions, microstructure and texture evolution, and material properties. This work will support faster product innovation across various markets in which Novelis operates, as well as improved plant performance. The role requires an unique combination of deep expertise in metallurgy and materials science, coupled with advanced modeling proficiency.
The position focuses on predictive modeling, which is integrated with experimental validation and data analytics to optimize manufacturing processes for aluminum products. As a key member of Novelis' Americas R&D organization, the Lead Modeling Scientist will spearhead the development and deployment of multi-physics, multi-scale materials modeling and physics-guided AI modeling capabilities. These efforts are critical for accelerating the development of sustainable products and processes.
Central to the role is bridging microstructural length scales as applied to Novelis' products-including sheet and plate-and to the company's manufacturing processes such as casting, rolling, and heat treatments. The position will also focus on developing a deeper understanding of the relationships among alloy chemistry, thermomechanical processing, microstructure, properties, and overall product performance.
Responsibilities:
  • Develop and maintain Integrated Computational Materials Engineering (ICME) models that connect process parameters, microstructure, and properties for flat aluminum sheet products, including processes such as homogenization, heat treatment, precipitation, recrystallization, texture development and grain growth.
  • Design and implement multi-scale models to link process parameters with microstructure and properties for casting, rolling, heat treatment, coating, CASH, batch annealing and related processes relative to Flat Rolled Aluminum Products.
  • Constitutive behavior models: Flow stress, work hardening, strain rate sensitivity
  • Formability & failure prediction models: FLD, FLC, earing, spring-back, bendability
  • Create and refine process simulation tools using methods such as finite element, finite difference, cellular automata, and phase-field modeling to predict thermal and mechanical behavior.
  • Integrate modeling results with experimental characterization techniques (including SEM, EBSD, XRD, DSC) and plant data to validate predictions and continually improve model accuracy.
  • Build thermodynamic and kinetic models using tools like Thermo-Calc, DICTRA, TC-Prisma, and Pandat to support alloy design and process optimization.
  • Lead end-to-end modeling projects, from scoping and model development through validation and deployment, with the goal of improving or innovating aluminum sheet products and processes across beverage packaging, automotive, specialties, and aerospace markets.
  • Automate workflows for predicting microstructure-property relationships and incorporate feedback from plant trials to enhance model robustness.
  • Collaborate with plant engineers and R&D teams to apply models for troubleshooting and improving productivity, recovery, and quality.
  • Document methodologies and results in technical reports and contribute to intellectual property through invention disclosures and patents.
Required Qualifications
  • Advanced degree (M.S. or Ph.D.) in Materials Science, Mechanical Engineering, or a related field, with more than ten years of experience in computational modeling.
  • Expertise in metallurgy and materials science, as well as process and microstructure modeling for metallic systems, especially aluminum alloys. Flat rolled aluminum products experience is largely preferred
  • Proficiency in modeling software such as Thermo-Calc, DICTRA, TC-Prisma, and Pandat, and in numerical methods including finite element, finite difference, cellular automata, and phase-field modeling.
  • Programming skills in MATLAB, FORTRAN, and C/C++, along with proficiency in statistical analysis tools like JMP and R.
  • Strong understanding of metallurgical principles and characterization techniques.
  • Excellent technical communication and project management skills.
  • Proven track record of solving plant issues through modeling with measurable business impact.
  • Experience deploying predictive models in production environments to improve throughput and quality.
Preferred Qualifications
  • Machine Learning for materials: Property prediction, Process window optimization, Defect classification
  • Digital twin development: End-to-end process-to-property simulation
  • High-performance computing (HPC): Parallel simulations, cloud computing
  • Data pipelines & model deployment: MLOps, version control, model governance
  • DOE (Design of Experiments)
  • Multi-variable regression & sensitivity analysis
  • Model calibration & uncertainty quantification

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

Location Profile
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.
Disclaimer
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