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Statistical Modeling Jobs in Ohio (NOW HIRING)

Qnity

Senior Data Scientist

Cleveland, OH · Hybrid

A strong candidate will have expertise in data science techniques such as data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language ...

Pwc

CTIO - AI Engineer- Senior Manager

Cleveland, OH

$91K - $321K/yr

In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

Pwc

CTIO - AI Engineer- Senior Manager

Columbus, OH

$91K - $321K/yr

In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

Pwc

CTIO - AI Engineer- Senior Manager

Cincinnati, OH

$91K - $321K/yr

In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

Keltec

Demand Planner

Hudson, OH · On-site

Utilize statistical models and data analysis to create accurate forecasts of future product demand, considering factors like seasonal fluctuations, promotional activities, and market trends. * Plan ...

Pwc

CTIO - AI Engineer- Senior Manager

Toledo, OH

$91K - $321K/yr

In this role, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

Keltec

Demand Planner

Hudson, OH · On-site

Utilize statistical models and data analysis to create accurate forecasts of future product demand, considering factors like seasonal fluctuations, promotional activities, and market trends. * Plan ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Independentlydesignsanddevelops statistical models andanalytical solutions. * Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve recurring analytics ...

KELTEC Technolab Inc.

Demand Planner

Hudson, OH · On-site

$65 - $95/hr

Utilize statistical models and data analysis to create accurate forecasts of future product demand, considering factors like seasonal fluctuations, promotional activities, and market trends. * Plan ...

VTG

Data Scientist

Beavercreek, OH · On-site

... statistical modeling and machine learning based on the analysis of large sets of data * Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.

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All JobsStatistical Modeling JobsStatistical Modeling Jobs in Ohio

Statistical Modeling information

See Ohio salary details

$34.7K

$52.6K

$94.1K

How much do statistical modeling jobs pay per year?

As of Sep 3, 2026, the average yearly pay for statistical modeling in Ohio is $52,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,900.00 and $57,000.00 per year, depending on experience, location, and employer.

What is statistical modeling?

Statistical modeling is the process of using mathematical models and statistical techniques to analyze data, identify patterns, and make predictions or inferences. It involves building models that represent relationships between variables in real-world systems. These models can be used for forecasting, hypothesis testing, and decision-making in various fields such as business, science, and engineering. Statistical modeling helps turn raw data into actionable insights by quantifying uncertainty and highlighting significant trends.

What are the key skills and qualifications needed to thrive as a statistical modeler, and why are they important?

To excel as a Statistical Modeler, a solid background in statistics, mathematics, and data analysis—often supported by a degree in a quantitative field—is essential. Proficiency with statistical software such as R, Python, SAS, or SPSS and familiarity with data visualization tools are typically required. Strong problem-solving skills, critical thinking, and effective communication help convey complex findings to non-technical stakeholders. These skills ensure accurate model development, actionable insights, and effective decision-making based on data.

What are some common challenges faced by professionals in statistical modeling roles, and how can they be managed?

Professionals in statistical modeling often encounter challenges such as dealing with incomplete or messy data, selecting the most appropriate modeling techniques, and clearly communicating complex results to non-technical stakeholders. Managing these challenges typically involves collaborating closely with data engineers and domain experts, employing robust data cleaning practices, and staying up-to-date with new statistical methods. Additionally, effective communication skills are essential for translating technical findings into actionable business insights, ensuring that modeling efforts drive real-world impact.

What is the difference between Statistical Modeling vs Data Analyst?

AspectStatistical ModelingData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; proficiency in statistical softwareDegree in data science, statistics, or related; strong analytical skills
Work EnvironmentResearch, academia, or data-driven industries; focus on model developmentBusiness, marketing, or finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in industries requiring predictive models and complex analysisUsed across various industries for data reporting and insights

Statistical Modeling involves creating mathematical models to understand data patterns and make predictions, often requiring advanced statistical knowledge. Data Analysts focus on interpreting data, generating reports, and providing actionable insights. While both roles work with data, Statistical Modeling emphasizes model development, whereas Data Analysts concentrate on data interpretation and presentation.

What do statistical modeling do?

Statistical modeling involves developing mathematical representations of data to analyze and predict patterns or outcomes. Professionals in this field use tools like statistical software and techniques such as regression or hypothesis testing to interpret data and support decision-making across various industries.

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

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

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

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

What cities in Ohio are hiring for Statistical Modeling jobs?

Cities in Ohio with the most Statistical Modeling job openings:

Statistical Modeling jobs near you
Infographic showing various Statistical 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 $52,621 per year, or $25.3 per hour.

Senior Data Scientist

Qnity

Cleveland, OH • Hybrid

Full-time

Posted 6 days ago

Key responsibilities

  • Collaborate with scientists within Qnity to support research and development projects involving AI and advanced electronics.

  • Develop, validate, and deploy AI/ML solutions, including data cleaning, statistical modeling, machine learning, deep learning, and computer vision techniques.

  • Create visualizations and reports to communicate technical concepts and results to stakeholders.

Job description

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

At Qnity, we're more than a global leader in materials and solutions for advanced electronics and high-tech industries - we're a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Job Description: Senior Data Scientist

Qnity Electronics is accepting applications for a position as a Data Scientist. This position will be at Qnity's Cleveland site, Ohio USA. This is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company's R&D department.

Qnity Electronics is a premier technology provider across the semiconductor value chain, empowering AI, high performance computing, and advanced connectivity.In this role, the Data Scientist will collaborate with scientists within Qnity, who are engaged in a variety of research and development projects.

A strong candidate will have expertise in data science techniques such as data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language models (LLMs). The applicant should demonstrate strong coding proficiency in Python or R, with the ability to prepare and analyze complex datasets, develop predictive and prescriptive models, build ML/DL pipelines, create compelling visualizations and reports, and evaluate advanced AI models including transformer-based architectures and multimodal systems. Beyond technical expertise, the role requires a highly organized problem solver who can apply structured analytical thinking to complex scientific and business challenges, effectively communicate technical concepts and results to stakeholders, and collaborate closely with R&D, data engineering, and domain experts to develop, deploy, and scale AI-driven solutions.

Required Skills & Education

  • PhD or MS + 3 years of experience in Data Science, Materials Science, Chemistry, Engineering, or a related technical field.

  • Strong programming skills in Python, including data preparation, statistical analysis, feature engineering, model development, evaluation, and visualization.

  • Demonstrated expertise in statistical modeling, machine learning, and deep learning across regression, predictive modeling, experimental design, hypothesis testing, supervised and unsupervised learning, classification, clustering, neural networks, and transformer-based architectures.

  • Strong hands-on experience with Computer Vision, including image classification, object detection, segmentation, anomaly detection, and image-based predictive modeling.

  • Experience with Generative AI and Large Language Models (LLMs), with expertise in prompt engineering, Retrieval-Augmented Generation (RAG), AI agents/copilots, and knowledge extraction applications.

  • Hands-on experience developing, validating, and deploying AI/ML solutions to solve scientific, engineering, or business problems.

  • Experience with modern AI frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, YOLO, or equivalent technologies.

Pluses

  • Experience with Microsoft Azure or other cloud-based AI/ML platforms, including MLOps and model deployment.

  • Experience with SQL, MongoDB, data pipelines, and data engineering workflows.

  • Excellent communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, influence stakeholders, collaborate across multidisciplinary teams, and present analytical findings to leadership and internal clients.

** Work Arrangement:

This position is expected to begin as a fully onsite role to support onboarding, training, and immersion in our culture, people, facilities, processes, and technologies. After successfully learning the role and establishing strong working relationships across the organization, the position may become eligible for a hybrid work arrangement, typically consisting of one remote workday per week, with the potential for up to two remote workdays per week, subject to business needs, job responsibilities, performance, and manager approval. This is not a guarantee.

#LI-LA1

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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit ourAccessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit the Compensation and Benefits page.

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