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Model Predictive Control Jobs in Cincinnati, OH (NOW HIRING)

Munich Re

Data Scientist

Amelia, OH · On-site

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

Munich Re

Data Scientist

Cincinnati, OH · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... learning, and predictive analytics to guide decision-making. • Develop scalable tools that ... statistical modeling, and data management. • Ability to translate analytical results into ...

ADVICS

Maintenance Technician

Lebanon, OH · On-site

By utilizing the Just-In-Time production model we are able to identify and solve problems ... Perform basic preventive/predictive maintenance. * Participates in improvement activities.

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... Modeling Skills * Math optimization and prescriptive analytics * Machine learning and predictive ... Git for version control * n8n and Power Automate * Azure Logic Apps What's in it for you?

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... Modeling Skills * Math optimization and prescriptive analytics * Machine learning and predictive ... Git for version control * n8n and Power Automate * Azure Logic Apps What's in it for you?

Laborup

Maintenance Technician

Sharonville, OH

$38 - $43/hr

You'll help shape maintenance culture, drive CMMS accuracy, develop preventive/predictive programs ... model safe work practices and ensure consistent compliance across the team. Requirements Required

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Cincinnati, OH

Model Predictive Control information

See Cincinnati, OH salary details

$52.8K

$92.7K

$125.7K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Cincinnati, OH is $92,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $103,600.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What are popular job titles related to Model Predictive Control jobs in Cincinnati, OH?

For Model Predictive Control jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Cincinnati, OH look for?

The top searched job categories for Model Predictive Control jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Model Predictive Control jobs?

Cities near Cincinnati, OH with the most Model Predictive Control job openings:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Cincinnati, OH as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $92,660 per year, or $44.5 per hour.

Data Scientist

Munich Re

Amelia, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Drive the future of AI-powered decision-making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re's Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.
Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and Gen AI models. You will test models to ensure efficacy and compliance before deployment, work hand-in-hand with ML Engineers to deploy models and verify system performance, and monitor models post-deployment, making adjustments as needed. Join us in building AI/ML models that truly drive business value and make a measurable impact.
Roles & Responsibilities:
  • Build and deploy AI/ML models with general guidance.
  • Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing.
  • Participate in the development of modeling presentations and present results/topics to stakeholders (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal stakeholders with guidance.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.

Required Technical Skills:
  • Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge.
  • Demonstrated experience building and deploying statistical and machine learning models to address business challenges.
  • Skilled in data wrangling, quality evaluation, transformation, and cleaning for analysis.
  • Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines.
  • Familiarity with tools such as MLflow for model experimentation and registration, Git for version control, and agile frameworks using tools like Azure DevOps.

Skills / Knowledge / Experience:
  • Develop and project manage modeling projects and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Mentor junior team members.
  • Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry.
  • Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re)insurance or 6 or more years predictive modeling experience in another industry.

Education, Certifications & Designations:
  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:
  • Two options for your health insurance plan (PPO or High Deductible)
  • Prescription drug coverage (included in your health insurance plan)
  • Vision and dental insurance plans
  • Short and Long Term Disability coverage
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)

In addition to the above insurance offerings, our employees also enjoy:
  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Applicants requiring employer sponsorship of a visa will not be considered for this position.
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