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Applied Math Jobs in Dayton, OH (NOW HIRING)

Machine Learning Engineer

Beavercreek, OH ยท On-site

$51.75 - $68.50/hr

Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics. * Previous experience signal processing, computer vision, or machine learning experience.

The Applied AI Scientist III is responsible for the development and application of cutting-edge ... Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other ...

The Applied AI Scientist III is responsible for the development and application of cutting-edge ... Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or other ...

D. (or equivalent) in Computer Science, Applied Mathematics, or a related field, with a track record of high-quality research (publications, patents, or open-source tools) in formal verification ...

Operations Research Analyst*

Dayton, OH ยท On-site

$91K - $108K/yr

QualificationsMinimum Position RequirementsMaster's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Data Science, Systems Engineering, or a closely related ...

Operations Research Analyst*

Dayton, OH ยท On-site

$91K - $108K/yr

Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Data Science, Systems Engineering, or a closely related quantitative discipline with significant ...

Operations Research Analyst* (26.38)

Dayton, OH ยท On-site

$93K - $110K/yr

Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Data Science, Systems Engineering, or a closely related quantitative discipline with significant ...

Physicist

Beavercreek, OH ยท On-site

$110K - $160K/yr

Position Overview Riverside Research's Applied Mathematics and Physics Solutions (AMPS) group is seeking a Physicist or Engineer to conduct experimental physics research on a variety of topics. Our ...

Showing results 41-60

Applied Math information

See Dayton, OH salary details

$21.9K

$57.2K

$91.9K

How much do applied math jobs pay per year?

As of Aug 20, 2026, the average yearly pay for applied math in Dayton, OH is $57,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $68,000.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.
Infographic showing various Applied Math job openings in Dayton, OH as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $57,187 per year, or $27.5 per hour.

Machine Learning Engineer

Etegent

Beavercreek, OH โ€ข On-site

$51.75 - $68.50/hr

Other

Medical, Dental, Vision, Retirement

Posted 6 days ago


Job description

Job Type
Full-time
Description
About the Company:
Etegent Technologies is a defense-focused technology company with offices in Beavercreek and Blue Ash, OH. We are a multi-disciplinary team of engineers, scientists, and management professionals dedicated to developing and commercializing AI/ML/Software solutions that address our customers' most significant challenges and opportunities.
Most important to us are our culture and values. Etegent's culture embodies respect, authenticity, collaboration, flexibility, curiosity, and fun.
The Position:
Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities.
We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization.
This position is based in Beavercreek, OH with the expectation of being in Etegent's office or at a customer facility 5 days a week.
The Candidate:
More so than seeking a candidate with specific training and experience, Etegent is seeking a candidate with an innate curiosity and passion for learning and understanding, tempered by a recognition of the pragmatic constraints inherent in developing real solutions to real problems. Etegent needs an MLE who is flexible and adaptable, having the desire and ability to learn new skills and develop new capabilities to take on challenges outside their current realm of experience. We are seeking very sharp, curious, well-rounded, adaptable people who can learn and grow as required to confront the challenges at hand.
Job Responsibilities:
  • Effectively communicate status updates, and other important information, with the team and group leader.
  • Execute research-and-development tasks in close collaboration with the team and group leader according to a set project schedule.
  • Gives effective feedback to others; contributes to the writing of project updates and final reports.
  • Understand, design, and implement algorithms for signature exploitation. This includes traditional feature extraction and state-of-the-art deep learning approaches.
  • Implement efficient signal/image processing techniques including radar signal processing, electro-optical and infrared image processing.
  • Develop and deploy data science tools for ingestion, visualization, and analysis of large, diverse data sources.
  • Implement machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection.
  • Provide expertise in data analytics and algorithm development for diverse data sources and applications.
  • Apply statistical techniques to evaluate algorithm performance.
  • Coordinate with teammates and users to instantiate research concepts in efficient, modular, and well-documented software.

Requirements
Required Qualifications:
  • Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • Previous experience signal processing, computer vision, or machine learning experience.
  • Experience developing ML models using standard ML frameworks (PyTorch, TensorFlow, or similar).
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, Git, and Linux.
  • Ability to acquire and maintain up to a TS security clearance.

Additional Qualifications for Senior-Level Candidates:
Senior-level candidates should also demonstrate:
  • Experience building and maintaining successful relationships with R&D customers while supporting business growth and development efforts.
  • Previous experience leading cross-functional project teams and driving projects to successful completion.

Preferred Qualifications:
  • Active TS security clearance.
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
  • Experience creating python-based user interfaces for data visualization.
  • Experience developing scalable, modular software tools.
  • Familiarity with DoD/IC customers.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • History of technical presentations and publications in relevant fields.

Attributes:
  • Independent and innovative thinker with an ability to work in an autonomous environment.
  • Demonstrates curiosity with a focus on innovating solutions for tasks.
  • Effective communicator who can collaborate with teammates and customers to solve problems.
  • Able to take personal ownership and responsibility over their work.

Working at Etegent:
At Etegent, you'll be a part of a fast-growing organization that combines a small-company feel with big-company resources and opportunities. We know that work-life balance is incredibly important, which is why in addition to your competitive salary, medical/dental/vision plan, and a generous annual company 401(k) contribution, you'll enjoy the following:
  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!

Competitive compensation based on qualifications and experience of candidate.
Etegent Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status or disability.