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Freelance Operations Research Engineer Jobs in Michigan

Simulation Engineer

Grand Rapids, MI · On-site +1

$65K - $140K/yr

Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field. * Proven experience in ...

Simulation Engineer

Grand Rapids, MI · On-site

$65K - $140K/yr

Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field. * Proven experience in ...

Working collaboratively with Operations, R&D, EHS, Project Engineering, and external engineering partners, you will ensure projects are designed to achieve business objectives while maintaining the ...

They are seeking an ML Engineer to build the intelligence layer of the company, focusing on machine ... operations research background, nesting, scheduling, routing • Strong NLP and LLM background ...

You will engineer solutions of all scales-from targeted, modular improvements within a single ... Operations Research (OR) modeling tools is highly desirable. * Knowledge of WMS, WES, and ...

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Showing results 41-60

Freelance Operations Research Engineer information

What are some common challenges faced by freelance operations research engineers when working with diverse clients?

Freelance Operations Research Engineers often encounter challenges such as understanding varied client needs, adapting to different industries, and integrating with existing teams remotely. Navigating unclear project scopes and communicating complex analytical findings to non-technical stakeholders can also be demanding. Building rapport quickly and establishing trust are essential to ensure effective collaboration and project success.

What is the difference between Freelance Operations Research Engineer vs Data Analyst?

AspectFreelance Operations Research EngineerData Analyst
CredentialsTypically requires a master's or PhD in operations research, industrial engineering, or related fieldsUsually holds a bachelor's or master's degree in data science, statistics, or related areas
Work EnvironmentFreelance, project-based, often remote, working with multiple clientsFull-time or part-time, often in corporate offices or remote settings
Industry UsageCommon in logistics, manufacturing, supply chain, and consultingPrevalent in finance, marketing, healthcare, and tech sectors

While both roles analyze data to improve decision-making, Freelance Operations Research Engineers focus on optimizing complex systems and processes through advanced modeling, often working independently. Data Analysts interpret data trends to support business insights, typically within organizations. The choice depends on the project scope and industry focus.

What are the key skills and qualifications needed to thrive as a freelance operations research engineer?

To thrive as a Freelance Operations Research Engineer, you need a strong background in mathematics, optimization techniques, and analytical problem-solving, typically backed by a degree in operations research, mathematics, or engineering. Familiarity with programming languages (such as Python, R, or MATLAB), optimization solvers, and data analysis tools is essential, along with experience using simulation software. Excellent communication, self-management, and client collaboration skills help set you apart in a freelance environment. These competencies ensure you can deliver effective, data-driven solutions to clients' complex operational challenges while managing projects independently.

What does a freelance operations research engineer do?

A Freelance Operations Research Engineer applies mathematical modeling, statistics, and analytical methods to help organizations solve complex problems and make better decisions. They typically work independently or on a contract basis, analyzing data, developing optimization models, and recommending solutions for areas like logistics, supply chains, scheduling, and resource allocation. Their expertise helps businesses improve efficiency, reduce costs, and enhance overall performance without being tied to a single employer.
What are popular job titles related to Freelance Operations Research Engineer jobs in Michigan? For Freelance Operations Research Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Operations Research Engineer jobs in Michigan look for? The top searched job categories for Freelance Operations Research Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Operations Research Engineer jobs? Cities in Michigan with the most Freelance Operations Research Engineer job openings:

Simulation Engineer

Kiongroup

Grand Rapids, MI • On-site, Remote

$65K - $140K/yr

Full-time

Re-posted yesterday


Job description

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano (TX), or Milwaukee (WI)-offering a hybrid schedule blending on-site collaboration and remote work. This role involves building and evaluating simulation models that contribute to the invention of automated and material-handling systems before they are implemented. You'll convert data into relevant insights, support project and customer decisions, and assist in delivering solutions that improve both performance and reliability. Success in this position comes to those who enjoy solving sophisticated problems, analyzing data, and partnering across teams to produce practical, high-impact outcomes.
We are unable to support Visa sponsorship or transfer for this role.We offer:What We Offer:
  • Career Development

  • Competitive Compensation and Benefits

  • Pay Transparency

  • Global Opportunities


Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $65,000 - $140,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.

Tasks and Qualifications:What You Will Do in This Role:
  • Develop discrete-event simulation models to evaluate the performance of material-handling and automated systems.

  • Support pre-sales and delivery activities by crafting low- to high-fidelity simulation models and conducting performance analysis.

  • Collaborate with engineering, sales, project management, and other partners to define requirements, scope, and timelines.

  • Collect, validate, and analyze data while detailing model assumptions and functional specifications.

  • Configure, complete, and lead simulation scenarios, experiments, and statistical runs.

  • Interpret simulation outputs and clearly communicate results to internal teams and customers.

  • Contribute to customer-facing presentations and technical reviews to support solution recommendations.

  • Deliver assigned tasks on schedule, meeting quality and budget expectations.

  • Explain technical concepts in a clear and accessible way for both technical and non-technical audiences.

  • Exercise good judgment when working with customer, confidential, or proprietary information.

  • Support continuous improvement of simulation tools, standards, processes, and methodologies.

What We're Looking For:
  • Solid understanding of discrete-event simulation concepts, methods, and standard processes.

  • Ability to apply statistical and quantitative analysis to simulation problems.

  • Experience with material-handling systems, logistics, or automated solutions (preferred).

  • Proficiency in at least one structured programming language (e.g., Python).

  • Experience with simulation tools such as Plant Simulation (AutoMod experience is a plus).

  • Familiarity with AutoCAD or 3D modeling tools is helpful.

  • Demonstrated ability to learn new tools, technologies, and methods.

  • Strong understanding of simulation modeling principles and approaches.

  • Bachelor's degree or Master's degree or equivalent experience in Engineering, Computer Science, Operations Research, Industrial Engineering, or a related technical field.

  • Proven experience in simulation model development, system modeling, or performance analysis.

  • Typical experience range: 2-5+ years, depending on role level and validated capability.

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