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Process Modeling Engineer Jobs in Pennsylvania (NOW HIRING)

Merck & Co.

As a senior member of the Process Modeling & Analytics team, they will also mentor junior ... Responsibilities: Lead CFD and engineering simulation of bioreactor mixing and gassing to ...

New

Mariana Minerals

Process Engineer

East Texas, PA · On-site

We are looking for a Senior Process Engineer to work with our innovative, fast-paced ... Conduct detailed process simulations and modeling to predict process behaviors under various ...

Metso Outotec

Process Engineer

York, PA · On-site +1

Develop and maintain process models and performance prediction tools to support equipment selection ... Strong analytical and engineering skills, including data analysis, applied statistics, process ...

Metso Outotec

Process Engineer

York, PA · On-site

Develop and maintain process models and performance prediction tools to support equipment selection ... Strong analytical and engineering skills, including data analysis, applied statistics, process ...

Merck & Co.

The successful candidate will play a technical leadership role in embedding mechanistic downstream modeling into DSCS decision-making-partnering closely with DSP scientists, process engineers, and DS ...

New

AIRCO

Sr. Development Engineer

New Britain, PA · On-site +1

$101K - $139K/yr

Develop and maintain first-principles process simulations and mechanistic models for reaction ... Convert laboratory and pilot-scale results into Engineering Design Information (EDI), process ...

AIRCO

Sr. Development Engineer

Philadelphia, PA · On-site +1

$105K - $144K/yr

Develop and maintain first-principles process simulations and mechanistic models for reaction ... S. or Ph.D. in Chemical Engineering, Mechanical Engineering, or a closely related discipline

AIRCO

Sr. Development Engineer

New Britain, PA · On-site

$101K - $139K/yr

Develop and maintain first-principles process simulations and mechanistic models for reaction ... S. or Ph.D. in Chemical Engineering, Mechanical Engineering, or a closely related discipline

Interon IT Solutions

Appian Developer

Malvern, PA · On-site

Appian Developer Location: Malvern,PA We are seeking an experienced Appian Developer to support ... Develop process models, interfaces, records, reports, integrations, and business rules in Appian.

Vitro Flat Glass

Sr. R&D Engineer

Cheswick, PA · On-site

Develop process models first-principles, system identification, data-driven, and machine learning ... D. in Chemical Engineering, Mechanical Engineering, Applied Mathematics, or a related STEM ...

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Process Modeling Engineer information

What does a process modeling engineer do?

A Process Modeling Engineer is responsible for designing, analyzing, and optimizing processes within industries such as manufacturing, chemical production, or energy. They use mathematical models and simulation software to predict how processes will perform under various conditions. By creating digital models, they help improve efficiency, reduce costs, and ensure safety and quality standards are met. Their work often involves collaborating with other engineers and stakeholders to implement improvements based on data-driven insights.

What are the key skills and qualifications needed to thrive as a process modeling engineer?

To thrive as a Process Modeling Engineer, you need a strong background in chemical or process engineering, analytical problem-solving skills, and typically a relevant engineering degree. Familiarity with process simulation software such as Aspen Plus, HYSYS, or MATLAB, and understanding of industry standards are crucial for effective modeling and analysis. Strong communication, teamwork, and project management skills help you collaborate with cross-functional teams and convey complex technical information. These skills ensure accurate process optimization, efficient project execution, and drive operational improvements in manufacturing or industrial environments.

What are some typical challenges faced by process modeling engineers when collaborating with cross-functional teams?

Process Modeling Engineers often work closely with teams from operations, R&D, and IT to develop and refine models that optimize manufacturing or chemical processes. A common challenge is translating complex technical data into actionable insights that are easily understood by non-engineering stakeholders. Effective communication and adaptability are key, as project requirements can evolve rapidly and may require balancing competing priorities. Building strong relationships and maintaining open channels for feedback help ensure that process models align with both technical standards and business goals.

What is the difference between Process Modeling Engineer vs Process Improvement Specialist?

AspectProcess Modeling EngineerProcess Improvement Specialist
Required CredentialsBachelor's in Engineering, Industrial Engineering, or related field; proficiency in process modeling softwareBachelor's in Engineering, Business, or related field; certifications like Six Sigma often preferred
Work EnvironmentEngineering teams, manufacturing plants, or R&D labsOperational teams, manufacturing facilities, or corporate offices
Employer & Industry UsageManufacturing, aerospace, automotive, and industrial sectorsManufacturing, healthcare, logistics, and service industries

The Process Modeling Engineer focuses on creating detailed process models using specialized software to optimize workflows. In contrast, the Process Improvement Specialist concentrates on analyzing existing processes and implementing improvements, often utilizing methodologies like Six Sigma. Both roles require similar educational backgrounds but differ in their primary focus and tools used.

What cities in Pennsylvania are hiring for Process Modeling Engineer jobs?

Cities in Pennsylvania with the most Process Modeling Engineer job openings:

Process Modeling Engineer jobs near you

Data Scientist- Process Modeling & Machine Learning

Pittsburgh, PA • On-site

SMS group Inc
See more jobs at SMS group Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description

Data Scientist- Process Modeling & Machine Learning

Summary

We are seeking a Data Scientist who combines strong machine learning expertise with a genuine understanding of the processes behind the data. In this role, you will collaborate closely with process engineers and domain experts to understand how our machinery and production processes behave and apply that knowledge to develop models. The central focus of the position is enhancing our existing process models with data-driven techniques and machine learning. By integrating domain knowledge with advanced modeling methods, you will build solutions that perform robustly in production and earn the confidence of the engineers, operators, and customers who depend on them.

Who we are

At SMS group, our people are our greatest asset. We offer an entrepreneurial environment that promotes a culture of innovation, growth, and inclusion. We offer company events, activities, and opportunities to participate in charitable initiatives that benefit the communities where we are located. 

www.sms-group.us

What you’ll do

Process Understanding & Domain Collaboration

  • Partner closely with process engineers, metallurgists, and domain experts to develop a deep, working understanding of the underlying processes and the data they generate.
  • Translate process know-how into model structure — constraints, features, and
  • relationships — rather than treating the process as a black box.
  • Spend time where the data comes from: participate in site visits to connect raw signals to real physical behavior.

Hybrid & Process-Informed Modeling

  • Enhance existing process models with data-driven techniques, replacing weak assumptions or unmodeled effects with learned components while preserving the physics that already works.
  • Design and implement hybrid models that combine domain/first-principles sub-models with machine learning (gray-box, physics-informed, and residual-modeling approaches).
  • Develop virtual/soft sensors to estimate quantities that are hard or expensive to measure directly.

End-to-End Data Science Delivery

  • Own data science problems end to end: scoping, data analysis (time-series and relational), feature engineering, modeling, validation, and deployment into production.
  • Serve as the algorithmic point of contact for your solutions, choosing the right tool for the problem — robust feature-based methods (e.g., scikit-learn) as well as deep learning (e.g., TensorFlow/Keras) where it adds value.
  • Build engineering prototypes and turn promising experiments into reliable, maintainable production solutions.

Production, Monitoring & Maintenance

  • Monitor model performance on live data, diagnose drift, and retrain or recalibrate as conditions change.
  • Continuously optimize and maintain deployed solutions to improve accuracy, robustness, and runtime performance. 

Collaboration & Adoption 

  • Work with cross-functional teams (product, engineering, project management) to align data science work with product roadmaps and project goals. 
  • Engage with customers to gather feedback, refine solutions, and ensure that data-driven approaches are accepted and adopted by the people who use them.


What you’ll need

Required

  • Master’s degree in data science, Machine Learning, Statistics, Applied Mathematics, a quantitative engineering discipline (e.g., process modeling, mechanical, control), or a related field - or 2+ years of relevant experience. 
  • Proven experience taking AI/ML solutions into real production environments (not just notebooks and prototypes). 
  • Demonstrated ability to understand a problem domain and incorporate that understanding into models - comfort working alongside engineers and domain experts and learning the underlying process. 
  • Understanding of software development practices: Python, SQL, Git, code review, and familiarity with container technologies. 
  • Strong communication skills for working with other departments, customers, and stakeholders, and the ability to explain technical choices to non-specialists. 
  • Ability to plan over longer horizons and coordinate work packages effectively. 
  • Willingness to work on-site at the office and to travel to customer sites. 

Preferred 

  • Hands-on experience with hybrid / gray-box / physics-informed modeling, or with enhancing first-principles or simulation models using data-driven methods. 
  • Experience building virtual/soft sensors, digital twins, or model-based monitoring for industrial or physical processes. 
  • Proficiency with deep learning methods and frameworks. 
  • Background in or exposure to an industrial / manufacturing / process domain (steel, metals, chemical, energy, or similar). 
  • Experience researching and benchmarking existing solutions and algorithms before building from scratch. 

Benefits and Opportunities

  • Open and Collaborative Culture: Work in a flat hierarchy where honest feedback and direct communication are valued. Join an international team and participate in bi-weekly company-wide open Fridays to discuss new tools, technologies, and approaches. 
  • Professional Development: Contribute to scientific papers, collaborate with renowned research institutes on long-term projects, and access company-supported learning opportunities. 
  • Real-World Impact: Have the opportunity to visit customer sites and witness the impact of your work on large machinery and steel production processes. 
  • Continuous Learning: Engage in everyday learning opportunities, regular data science meetings, and paper discussions to stay updated on projects and scientific developments in data science and metallurgy. 
  • Contributing to Industry Standards: Play an integral role in setting digitalization standards for the metals industry.

What we offer

  • Competitive compensation, medical/dental/vision coverage, paid vacation, paid holiday time, 401k with a company match, training, a tuition reimbursement program and more!

What we do

SMS group is the leading partner in the world of metals. We are an original equipment supplier offering comprehensive maintenance and spare part services for metals production, continuous casting and rolling (flat and long products), tubes, welded pipes, forging, non-ferrous technology, and heat treatment plants - all from a single source.

SMS group Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity or other categories protected by law. Employment is contingent upon successful completion of a drug screen and physical capacity profile test.