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Statistical Modeling Jobs in Ohio (NOW HIRING)

SierTeK Ltd.

Epidemiologist

Dayton, OH · On-site

Statistical Modeling & Tools * Conduct statistical analysis using SAS and SAS EG * Build theoretical models linking variables and key outcomes * Perform validation and verification protocols ...

SIERTEK

Epidemiologist

Dayton, OH

Statistical Modeling & Tools * Conduct statistical analysis using SAS and SAS EG * Build theoretical models linking variables and key outcomes * Perform validation and verification protocols ...

SierTeK Ltd.

Epidemiologist

Dayton, OH · On-site

Statistical Modeling & Tools * Conduct statistical analysis using SAS and SAS EG * Build theoretical models linking variables and key outcomes * Perform validation and verification protocols ...

SIERTEK LTD

Epidemiologist (25.38)

Dayton, OH

Statistical Modeling & Tools * Conduct statistical analysis using SAS and SAS EG * Build theoretical models linking variables and key outcomes * Perform validation and verification protocols ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Advanced skill in statistical modeling, SQL, and database concepts required. * Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction.

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Advanced skill in statistical modeling, SQL, and database concepts required. * Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction.

Penske

Staff Data Scientist

Beachwood, OH · On-site

Advanced skill in statistical modeling, SQL, and database concepts required. * Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction.

SIERTEK LTD

Epidemiologist (25.38)

Dayton, OH · On-site

Statistical Modeling & Tools * Conduct statistical analysis using SAS and SAS EG * Build theoretical models linking variables and key outcomes * Perform validation and verification protocols ...

Cytel

Applying advanced statistical methodologies, including mixed models and other complex modeling techniques, to support efficacy and longitudinal analyses. * Designing and executing simulation studies ...

US Bank

Quantitative Model Analyst 2

Cincinnati, OH

... statistical models for our income statement. The model-building process is holistic, and will ... The role also involves communicating modeling approaches and results to stakeholders across the ...

BeyondTrust

Deep understanding of statistical modeling, experimental design, and evaluation methodology * Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

Required : • Proven experience with Python or C#, SQL, and applied machine learning or statistical modeling, and data management. • Ability to translate analytical results into insights that ...

Tech Group International

Lead Forecasting Engineer

Toledo, OH · On-site

$100K - $132K/yr

Your primary responsibility will be to lead the development of forecasting and statistical models for our enterprise application for manufacturers and distributors. You will work closely with the ...

Kemper

Data Science Manager

Columbus, OH · Hybrid

At least 6 years of experience with statistical modeling, machine learning, and AI technologies. * Strong proficiency in Python and SQL. * Experience with software development best practices ...

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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 Jul 24, 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.

How much do data modelers make?

Data modelers, also known as statistical modelers, typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning or programming may earn higher salaries, especially in tech hubs or large organizations.

Are statisticians highly paid?

Statisticians are generally well-paid, with median salaries often above the national average, especially for those with advanced skills in statistical software, programming, and data analysis. Salaries vary based on experience, education, industry, and location, but the profession is considered financially rewarding compared to many other roles in data analysis and modeling.

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 do statistical models do?

Statistical modeling involves creating mathematical representations of data to analyze relationships, make predictions, and inform decision-making. Professionals in this field use tools like regression analysis and statistical software to interpret complex data sets and support evidence-based conclusions.

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 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.

Is AI replacing statisticians?

Statisticians play a key role in designing experiments, analyzing data, and interpreting results, and AI tools are used to enhance these tasks rather than replace the profession. AI can automate routine data processing, but statisticians are needed for complex modeling, decision-making, and ensuring data quality. Proficiency in statistical software and programming languages like R or Python remains essential for the job.
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 July 2026, with employment types broken down into 72% Full Time, 10% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $52,621 per year, or $25.3 per hour.
Epidemiologist

Epidemiologist

SierTeK Ltd.

Dayton, OH • On-site

Full-time

Posted 15 days ago

Job description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.
SierTeK Ltd. is seeking an Epidemiologist to support an opportunity at Wright Patterson AFB.
PLEASE APPLY DIRECTLY ON OUR WEBSITE:
POSITION OVERVIEW SECTION
The employee shall provide subject matter expertise to USAFSAM Department of Aerospace Medicine (USAFSAM/FE), Aerospace Medicine Studies and Analysis Division (FES). FES provides the data center and subject matter expert consultative support hub for the USAF Operational Support Team and True North + initiatives, aerospace and operational clinical psychology consultation to optimize performance and assist in injury/decrement recovery, and the capability for USAFSAM and the USAF Medical Service to conduct and administer Aerospace and Operational Medicine Enterprise (AOME) data analytics. The Aeromedical Analytic Consultation Data Cell will provide operational medicine and human performance surveillance support on a variety of operational, readiness, human performance, and health outcomes as well as program evaluation and effectiveness analysis for programs within the operational or human performance domains.
Essential Job Functions
The employee will provide data-driven support to the Air Force in the areas of health surveillance, human performance, and operational readiness. Key duties include:
Data Analysis & Evaluation
  • Analyze military health, personnel, and operational records at all levels
  • Evaluate programs focused on human and administrative performance.
  • Apply advanced analytics to complex and multifaceted issues

Data Management
  • Manage retrieval, integration, and formatting of diverse data sources
  • Collect data per agreement and map elements to existing sets
  • Establish data architecture and develop a comprehensive data dictionary.

Statistical Modeling & Tools
  • Conduct statistical analysis using SAS and SAS EG
  • Build theoretical models linking variables and key outcomes
  • Perform validation and verification protocols

Reporting, Communication, and Publication
  • Draft technical reports, presentations, and documents
  • Publish findings in peer-reviewed journals and conferences
  • Support conference materials (posters, presentations).

Collaboration & Support
  • Work with stakeholders and USAFSAM/FES leadership
  • Participate in interdisciplinary planning as a health statistics expert
  • Assist in knowledge transfer to USAF leadership

Systems & Documentation
  • Learn and apply knowledge of Air Force data systems and repositories
  • Document code per USAFSAM programming standards
  • Acquire and manage required data access

Qualifications
Minimum Position Requirements
  • MPH, MS, or PhD in Epidemiology, Statistics, Data Science, Bioinformatics, or a related field approved by USAFSAM/FES.
  • Minimum of five (5) years of experience applying statistical methods in public health is required.
  • Demonstrate advanced analytical capabilities, including expertise in visual analytics for population health and health data surveillance.
  • Ability to design, conduct, and lead analyses of operational studies involving health surveillance data, health records, and relevant military records to inform risk reduction strategies and improve health outcomes for the USAF total force population.

Highly Desired Qualifications
  • Board Certification in Public Health
  • Experience with USAF-related data and health

SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.
If you need assistance or accommodation due to a disability, you may contact us at 1+833.743.7835.
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About Siertek

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Beavercreek, OH, US

Year founded

2007

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