ZipRecruiter

Log In

1

Statistical Modeling Jobs in Ohio (NOW HIRING)

Varsity Tutors

Statistics Graduate Level Tutor

Akron, OH · Remote

$18 - $40/hr

Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while preparing students for research methodology and doctoral-level statistical analysis. * Conceptual ...

Safelite Group

Lead Data Scientist

Columbus, OH · On-site

Lead the development of advanced machine learning models, statistical frameworks, and optimization solutions to support consumer and sales growth. Define and enforce best practices for model ...

Safelite Group, Inc.

Lead Data Scientist

Columbus, OH · On-site

Lead the development of advanced machine learning models, statistical frameworks, and optimization solutions to support consumer and sales growth. Define and enforce best practices for model ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

Develop and implement predictive models, algorithms, and statistical techniques to extract insights from large and complex healthcare datasets. * Define and execute evaluation strategies for ML and ...

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization * Conduct ...

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.

next page

Showing results 1-20

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 1, 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 June 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $52,621 per year, or $25.3 per hour.
Statistics Graduate Level Tutor

Statistics Graduate Level Tutor

Varsity Tutors

Cincinnati, OH • Remote

$18 - $40/hr

Part-time

Posted 26 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics Graduate Level tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Statistics Graduate Level Tutor
  • Advanced Subject Mastery: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental design, and nonparametric statistics. Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models while preparing students for research methodology and doctoral-level statistical analysis.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down likelihood function derivations, posterior distribution calculations, and ANOVA decompositions. Guides students through designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software. Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with graduate statistics curricula and common challenges such as understanding measure-theoretic probability foundations, deriving estimator properties, and interpreting complex model outputs. Adapts instruction using R or Python statistical computing, research paper examples, and proof-based exercises to support masters and doctoral students across quantitative disciplines.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

What Varsity Tutors employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply