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Numerical Analysis Jobs in Ohio (NOW HIRING)

University of Toledo

Teaching responsibilities may include calculus, linear algebra, numerical analysis, discrete probability, mathematical modeling, and related applied mathematics courses. The expected instructional ...

University of Toledo

Teaching responsibilities may include calculus, linear algebra, numerical analysis, discrete probability, mathematical modeling, and related applied mathematics courses. The expected instructional ...

Qnity

FP&A - Senior Analyst

Delaware, OH

$81K - $101K/yr

Seeking an FP&A professional to support the daytoday financial planning and analysis activities ... numbers into a narrative business leaders can act on. Process & Data Support: Help streamline ...

Clark Schaefer Hackett

FP&A Analyst

Cincinnati, OH · On-site

Job Opportunity: FP&A Analyst - 90-day Contract Opportunity in Cincinnati, OH Looking for a role ... Do you enjoy digging into the numbers and helping keep operations on track? Want to step into a ...

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Numerical Analysis information

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$15

$23

$31

How much do numerical analysis jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for numerical analysis in Ohio is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $26.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Numerical Analysis position, and why are they important?

To thrive in Numerical Analysis, you need a strong background in mathematics, statistics, and computational methods, typically supported by a degree in applied mathematics, engineering, or a related field. Familiarity with programming languages (such as MATLAB, Python, or R) and proficiency in numerical simulation or modeling software are crucial. Attention to detail, analytical thinking, and effective communication stand out as valuable soft skills in this specialty. These competencies are critical for developing accurate numerical solutions and collaborating effectively within interdisciplinary technical teams.

What kinds of projects do professionals in Numerical Analysis typically work on?

Professionals in Numerical Analysis often work on projects involving the development and implementation of algorithms to solve complex mathematical problems, such as simulations, optimizations, and predictive modeling. Their work is typically applied to fields like engineering design, finance, data science, and scientific computing, where accurate numerical solutions are vital. On a daily basis, they may collaborate with engineers, scientists, and software developers to ensure models reflect real-world scenarios and produce reliable results. This collaborative and interdisciplinary approach offers plenty of opportunities to broaden expertise and progress into more specialized or senior analytical roles.

What does a numerical analyst do?

A numerical analyst develops and applies mathematical models and algorithms to solve complex quantitative problems, often using programming languages and software tools like MATLAB or Python. They analyze data, perform simulations, and optimize solutions in fields such as engineering, finance, or scientific research.

What is a Numerical Analysis job?

A Numerical Analysis job involves developing and applying mathematical algorithms to solve complex numerical problems. Professionals in this field use computational techniques to approximate solutions for equations that may not have analytical solutions. They work in areas such as engineering, physics, finance, and computer science to optimize simulations, data analysis, and modeling. Strong skills in programming, mathematics, and problem-solving are essential for success in this role.

What jobs use numerical analysis?

Numerical analysis is used in a variety of jobs such as data scientist, quantitative analyst, operations researcher, financial analyst, and engineer. These roles involve developing algorithms, modeling complex systems, and analyzing large datasets using tools like MATLAB, Python, or R. Strong mathematical skills and experience with computational tools are essential for these positions.

What are the top 5 math careers that pay well?

Numerical analysts and applied mathematicians often have high-paying careers, especially in finance, data science, and engineering sectors. Roles such as quantitative analyst, operations researcher, and data scientist typically require strong analytical skills and proficiency with programming tools like Python or R, with salaries reflecting their specialized expertise and demand.

What job makes $1,000,000 a year?

In the field of numerical analysis, high-paying roles such as quantitative analysts, hedge fund managers, or senior data scientists in finance can earn over $1 million annually through bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling or algorithm development.
What are popular job titles related to Numerical Analysis jobs in Ohio? For Numerical Analysis jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Numerical Analysis jobs in Ohio look for? The top searched job categories for Numerical Analysis jobs in Ohio are:
What cities in Ohio are hiring for Numerical Analysis jobs? Cities in Ohio with the most Numerical Analysis job openings:
Numerical Analysis jobs near you
Infographic showing various Numerical Analysis job openings in Ohio as of July 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 100% In-person job distribution, with an average salary of $49,324 per year, or $23.7 per hour.

Applied Mathematics & Statistics Intern

Applied Optimization

Fairborn, OH • On-site

Part-time

Posted 29 days ago

Job description

Applied Optimization (AO) Job Description

Job Title: Applied Mathematics & Statistics Intern              Reports to: Principal Scientist
FLSA Status: Part-Time (Non-Exempt)                                  Department: Space Science
Position Objective:
  • To support an interdisciplinary team that develops new generation scientific algorithms in space science through mathematical modeling, statistical analysis, applications of machine learning and artificial intelligence techniques, and implements these into numerical analysis and software deliverables to our customers.
Essential Functions:
  • Support the development and testing of mathematical models of real data
  • Support the implementation of mathematical formulae and algorithms into software code
  • Support hypothesis testing through statistical analysis methods to analyze and interpret effectiveness of algorithms
  • Support modifying and debugging code
  • Perform verification and quality assurance for new and existing mathematical algorithms and code
  • Help prepare and review presentations, papers, and reports to convey statistical analysis, mathematical modeling, and software development to customers
  • Ensure accuracy of your work and follow procedures in documenting work; maintain notebook of daily activities and provide weekly reports of work
  • Other duties as assigned
Required Qualifications:
  • Undergraduate or graduate student currently enrolled in a program related to the field of mathematics or statistics with a superior academic record
  • Basic understanding of software development and knowledge of various programming languages
  • Attention to detail and effective time and schedule management skills
  • Effective organizing, planning, and problem-solving skills
  • Ability to adapt within a small team to support evolving customer requirements
  • Ability to adapt between and balance work falling under a range of research topics including additive manufacturing, space research, and optics
  • Ability to execute instructions and communication in written, oral, and diagram form
  • Demonstrated strong writing, fact-gathering, and analytical skills
  • Basic computer skills including, but not necessarily limited to, Microsoft Office products (e.g., Outlook, Word, Excel, and PowerPoint)
Preferred Qualifications:
  • College sophomore or higher with cumulative GPA (Grade Point Average) of 3.5 or higher
  • A minor or dual degree in computer science or computer engineering
  • Theoretic knowledge and experience of Agile software development practices and UML
  • Knowledge or experience in Python, MATLAB, and/or C++ programming languages
  • Knowledge or experience in Git management and use for collaborative projects
  • Experience with machine learning, artificial intelligence, and numerical optimization techniques
Citizenship/Security Clearance Requirements:
  • U.S. Citizen or Green Card Holder
  • May be required to obtain and maintain U.S. Government Security Clearance
About Our Internships:
  • Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the student’s class schedule. The weekly hours can be adjusted to balance for the examinations, tests, and project submissions.
Employment Structure:
  • In-office attendance is required; remote work is not available at this time.
About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at www.appliedo.com.
This job description is subject to change.