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Predictive Modeling Jobs in Ohio (NOW HIRING)

Keybank

Quant Analytics Mgr.

Brooklyn, OH · On-site

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

Keybank

Quant Analytics Mgr.

Cincinnati, OH · On-site

Master's degree (or tis equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of ...

ComResource

Data Scientist

Columbus, OH · On-site

Develop and validate predictive and prescriptive models using advanced analytical techniques including machine learning, statistical modeling, optimization, and simulation. * Perform rigorous feature ...

ClifyX

Machine Learning Engineer

Dayton, OH · On-site

Responsibilities : • Design advanced ML models across NLP, optimization, predictive modeling, and statistical learning. • Own end to end MLOps pipelines data ingestion, training, deployment ...

KBR, Inc.

Predictive Research Analyst

Beavercreek, OH · On-site

Predictive Research Analyst KBR is seeking a Predictive Research Analyst for mission-level combat modeling to join our team at Wright Paterson AFB, Dayton Ohio an active Top Secret clearance is ...

Qnity

Senior Data Scientist

Cleveland, OH · Hybrid

Demonstrated expertise in statistical modeling, machine learning, and deep learning across regression, predictive modeling, experimental design, hypothesis testing, supervised and unsupervised ...

SIERTEK LTD

Senior Analyst* (26.23)

Bath, OH · On-site

$90 - $130/hr

Build, validate, and refine statistical and predictive models examining relationships between health, personnel, operational, and environmental factors. * Perform model verification and validation ...

SierTeK Ltd.

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

Build, validate, and refine statistical and predictive models examining relationships between health, personnel, operational, and environmental factors.Perform model verification and validation ...

Pwc

Adobe Transformation - Manager

Cleveland, OH · On-site

$99K - $232K/yr

... inform predictive modeling efforts - Confirming data integrity and security within analytics frameworks - Applying statistical modeling and machine learning techniques to enhance data analysis ...

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Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for predictive modeling in Ohio is $55.82, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $64.90 per hour, depending on experience, location, and employer.

What is predictive modeling?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive in predictive modeling, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What are the most commonly searched types of Predictive Modeling jobs in Ohio?

The most popular types of Predictive Modeling jobs in Ohio are:

What are popular job titles related to Predictive Modeling jobs in Ohio?

For Predictive Modeling jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Predictive Modeling jobs in Ohio look for?

The top searched job categories for Predictive Modeling jobs in Ohio are:

What cities in Ohio are hiring for Predictive Modeling jobs?

Cities in Ohio with the most Predictive Modeling job openings:

Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Ohio as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $116,102 per year, or $55.8 per hour.

Engineer, Development (AI-Augmented Scientific Modeling)

JMJ PHILLIP

Perrysburg, OH • On-site

$130 - $160/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Key responsibilities

  • Develop and implement AI-augmented scientific and engineering models.

  • Design, develop, and validate computational models for engineering and scientific applications.

  • Collect, clean, and analyze large datasets to support predictive modeling.

Job description

We are seeking an Engineer, Development (AI-Augmented Scientific Modeling) to develop and enhance advanced scientific modeling solutions by integrating artificial intelligence, data-driven methodologies, and computational engineering techniques. The ideal candidate is passionate about innovation, enjoys solving complex technical challenges, and has experience applying AI and computational modeling to accelerate research, product development, and engineering decision-making.

Position ResponsibilitiesAI Model Development
  • Develop and implement AI-augmented scientific and engineering models.
  • Integrate machine learning techniques with traditional physics-based modeling approaches.
  • Evaluate and improve model accuracy, scalability, and performance.
Scientific Modeling & Simulation
  • Design, develop, and validate computational models for engineering and scientific applications.
  • Analyze simulation results and recommend design or process improvements.
  • Ensure models accurately represent real-world systems and behaviors.
Data Analysis & Machine Learning
  • Collect, clean, and analyze large datasets to support predictive modeling.
  • Develop algorithms that improve model efficiency and decision-making.
  • Apply statistical and machine learning techniques to solve engineering challenges.
Research & Innovation
  • Stay current with advancements in AI, scientific computing, and emerging technologies.
  • Evaluate new tools and methodologies to improve development capabilities.
  • Contribute to research initiatives and technology roadmaps.
Cross-Functional Collaboration
  • Collaborate with engineering, research, software development, and data science teams.
  • Translate complex technical findings into actionable recommendations.
  • Support product development through technical expertise and analytical insights.
Documentation & Technical Communication
  • Prepare technical documentation, reports, and model validation results.
  • Present findings to internal stakeholders and leadership.
  • Maintain documentation to support knowledge sharing and regulatory compliance where applicable.
Prerequisites
  • Bachelor's, Master's, or Ph.D. in Engineering, Computer Science, Applied Mathematics, Physics, Materials Science, or a related technical field.
  • Experience in scientific computing, computational modeling, simulation, or AI-driven engineering applications.
  • Knowledge of machine learning frameworks and programming languages such as Python, MATLAB, or similar tools.
  • Experience with numerical methods, optimization, and data analysis.
  • Strong analytical, problem‑solving, and communication skills.
  • Ability to work collaboratively in multidisciplinary engineering and research environments.
Certifications (Preferred, but Not Required)
  • AWS Certified Machine Learning – Specialty
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Professional Machine Learning Engineer
  • Certified TensorFlow Developer
  • Data Science or Artificial Intelligence certifications
  • Lean Six Sigma Green Belt
What the Role Offers
  • Salary Range: $130,000 – $160,000 annually.
  • Comprehensive health, dental, and vision insurance.
  • Retirement savings plan with company contributions.
  • Performance-based incentive opportunities.
  • Paid time off and company holidays.
  • Professional development and continuing education support.
  • Access to cutting‑edge AI technologies and research initiatives.
  • Collaborative engineering environment with opportunities for career advancement.
Why Perrysburg?

Perrysburg offers an excellent environment for engineering and technology professionals, with access to a growing innovation ecosystem, advanced manufacturing, and research-driven industries. The area provides opportunities to work on cutting‑edge technologies while enjoying a strong professional community, a high quality of life, and excellent long‑term career growth.

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