ZipRecruiter

Log In

1

Applied Optimization Jobs in Springfield, OH (NOW HIRING)

Applied Res

Pricing Manager

Beavercreek, OH · On-site

ARS is seeking an experienced Pricing Manager to lead pricing strategy, proposal pricing, and cost/price analysis for our government and defense contracts business. This role is responsible for

previous pagenext page

Showing results 21-40

All JobsApplied Optimization JobsApplied Optimization Jobs in Springfield, OH

Applied Optimization information

See Springfield, OH salary details

$14.4K

$50.3K

$91.9K

How much do applied optimization jobs pay per year?

As of Sep 14, 2026, the average yearly pay for applied optimization in Springfield, OH is $50,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $65,300.00 per year, depending on experience, location, and employer.

What is the difference between Applied Optimization vs Data Analyst?

AspectApplied OptimizationData Analyst
Required CredentialsBachelor's in Operations Research, Industrial Engineering, or related fields; often certifications in optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentCorporate, manufacturing, logistics, or consulting firms focusing on process improvementBusiness, finance, healthcare, or marketing sectors analyzing data trends
Employer & Industry UsageUsed in industries requiring process optimization and resource allocationUsed across industries for interpreting data and supporting decision-making

Applied Optimization focuses on developing mathematical models to improve processes and resource use, often requiring specialized optimization skills. Data Analysts interpret data to identify trends and support strategic decisions. While both roles analyze data, Applied Optimization emphasizes mathematical modeling for operational improvements, whereas Data Analysts focus on data interpretation and reporting.

What jobs use applied optimization?

Applied optimization is used in roles such as operations researcher, data analyst, supply chain analyst, and industrial engineer. These jobs involve developing algorithms, modeling systems, and improving processes using mathematical and computational techniques to increase efficiency and reduce costs.

What cities near Springfield, OH are hiring for Applied Optimization jobs?

Cities near Springfield, OH with the most Applied Optimization job openings:

Applied Optimization jobs near you

Senior Applied Mathematician

Fairborn, OH • On-site

Altamira Technologies Corp.
Software Development • 201 - 500 employees
Learn more about Altamira Technologies Corp.external

$82K - $101K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.
 
Altamira Technologies is seeking a Senior Applied Mathematician to support implementation of statistical learning and machine learning approaches, radar and electro-optical data processing, and probability theory research for U.S. Air Force and Intelligence Community missions. The successful candidate will apply advanced probability, stochastic processes, statistical inference, machine learning, and statistical learning to noisy and sparse mission data, translating complex mathematical concepts into practical algorithms and analytic tools.

This position will work closely with mission analysts, engineers, and software developers to improve change detection capabilities, characterize resident space objects, evaluate algorithm performance, and advance statistical methods used in operationally relevant applications.

Responsibilities
  • Serve as a subject matter expert in applied mathematics, probability theory, stochastic processes, statistical inference, and event processing.
  • Develop and refine probabilistic algorithms, statistical models, and hypothesis tests for feature-based change detection and mission-data analysis.
  • Support radar-data processing and change-detection research, development, integration, testing, and evaluation activities.
  • Formulate methods for resident space object characterization using noisy, sparse, or incomplete observational data.
  • Apply statistical and machine-learning techniques to identify anomalies, characterize changes, and improve analytic performance.
  • Develop and assess approaches based on the Sequential Probability Ratio Test (SPRT), statistical model fitting, moving-average methods, clustering, and related techniques, and contribute improvements to mission analytic tools and their underlying logic.
  • Design experiments, evaluate algorithm performance, interpret results, and communicate technical findings to government and contractor stakeholders.
  • Collaborate with multidisciplinary teams to translate mission needs into mathematically sound and implementable analytic solutions.
  • Document methods, assumptions, results, and recommendations in technical reports, briefings, and other program deliverables.
Required Qualifications
  • Ph.D. in Statistics, Applied Mathematics, Mathematics, Operations Research, or a closely related quantitative field.
  • Ten (10) or more years of professional experience applying advanced statistical or mathematical methods to complex scientific, engineering, defense, intelligence, or national security problems.
  • Demonstrated expertise in advanced probability theory, stochastic processes, statistical inference, hypothesis testing, and statistical model development.
  • Experience developing probabilistic algorithms or statistical learning approaches for change detection, anomaly detection, object characterization, or similarly complex analytic problems.
  • Experience analyzing noisy, sparse, high-dimensional, or otherwise challenging data and explaining complex mathematical concepts to technical and mission-focused audiences.
  • Strong written and verbal communication skills, including the ability to prepare technical documentation and present analytic results.
  • Ability to satisfy the security and access requirements established for the assigned customer and program.
Preferred Qualifications
  • Experience supporting the U.S. Air Force, Department of Defense, Intelligence Community, or other national security customers.
  • Experience supporting NASIC missions or working in a NASIC mission environment.
  • Knowledge of radar data processing, feature-based change detection, resident space object characterization, or space domain awareness applications.
  • Experience with Sequential Probability Ratio Test methods, double exponential moving averages, spline-based statistical modeling, functional data clustering, queueing theory, optimization, or the modeling and evaluation of mission analytic tools.

Apply