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Remote Mathematician Jobs in Ohio (NOW HIRING)

DataAnnotation

Math Teacher

Wyoming, OH · Remote

$40/hr

Applied Mathematics and/or Computer Science ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

DataAnnotation

AI Trainer, Mathematics

Wyoming, OH · Remote

$40/hr

Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ... mathematics problems and evaluate their outputs Evaluate the quality produced by AI models for ...

CSAA

Senior Commercial Insurance Analyst - Remote

Delaware, OH · Remote

$83.50K - $110.60K/yr

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... Please note we are hiring for this role remote anywhere in the United States with the following ...

DataAnnotation

Content Developer - Math

Wyoming, OH · Remote

$40/hr

Join to apply for the Content Developer - Math role at DataAnnotation We are looking for a Content ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

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$26.1K

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How much do remote mathematician jobs pay per year?

As of May 28, 2026, the average yearly pay for remote mathematician in Ohio is $53,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Mathematician, and why are they important?

To excel as a Remote Mathematician, you need a strong background in mathematics, problem-solving skills, and typically an advanced degree such as a master's or Ph.D. in mathematics or a related field. Proficiency with mathematical software like MATLAB, Mathematica, Python, or R, and sometimes knowledge of LaTeX for documentation, is often required. Exceptional analytical thinking, self-motivation, and clear written communication help remote mathematicians collaborate effectively and manage independent workloads. These competencies ensure accurate research, effective remote teamwork, and the ability to contribute valuable insights from a distance.

How do Remote Mathematicians typically collaborate with colleagues and contribute to team projects?

Remote Mathematicians often work closely with interdisciplinary teams using digital collaboration tools such as video conferencing, shared code repositories, and project management platforms. While much of the work is independent, regular check-ins, virtual brainstorming sessions, and peer reviews are common to ensure alignment and progress. Effective communication and documentation are essential, as colleagues may be in different time zones or specializations. This environment allows Remote Mathematicians to contribute their expertise to diverse projects while maintaining flexibility in their work schedule.

What are remote mathematicians?

Remote mathematicians are professionals who apply mathematical theories and techniques to solve problems, conduct research, or develop mathematical models while working from a location outside of a traditional office, such as from home or another remote setting. They may work in academia, research institutions, finance, technology, or other industries, collaborating with teams online and using digital tools to analyze data and communicate findings. This role often involves tasks like statistical analysis, algorithm development, or mathematical modeling, all completed virtually.

What is the difference between Remote Mathematician vs Data Scientist?

AspectRemote MathematicianData Scientist
Required CredentialsAdvanced degree in Mathematics or related fieldDegree in Computer Science, Statistics, or Mathematics
Work EnvironmentResearch-focused, often independent or academic settingsBusiness or tech industry, collaborative teams
Employer & Industry UsageResearch institutions, academia, government agenciesTech companies, finance, healthcare, retail

Remote Mathematicians and Data Scientists both require strong quantitative skills and advanced degrees. However, Remote Mathematicians typically focus on theoretical research and mathematical modeling, often in academic or research settings. Data Scientists tend to work on practical data analysis, machine learning, and business insights within industry environments. While there is overlap, the key difference lies in their application focus and work environment.

What are the most commonly searched types of Mathematician jobs in Ohio? The most popular types of Mathematician jobs in Ohio are:
What are popular job titles related to Remote Mathematician jobs in Ohio? For Remote Mathematician jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Mathematician jobs in Ohio look for? The top searched job categories for Remote Mathematician jobs in Ohio are:
What cities in Ohio are hiring for Remote Mathematician jobs? Cities in Ohio with the most Remote Mathematician job openings:
Remote Mathematician jobs near you
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

Posted 7 days ago

Job description

We are seeking an experienced TS/SCI cleared Remote Sensing Scientist / Physicistwith a deep understanding of the mathematics/geometry of sensor homography / image stitching. The ideal candidate will have photogrammetry skills and a background with remote sensing principles and sensor/target phenomenology or spectral phenomenology and algorithm development experience across a broad spectral range from visible to thermal. If your strength lies in domain image processing and data/scene exploitation and you want to work on a compelling project that has to do with enabling next-generation capabilities for national defense, specifically to help shape the future of airborne and space-based surveillance, this position will place you at the cutting edge.You will support a large R&D program that is focused on providing advanced intelligence capabilities for the benefit of the DoD and IC communities.

You will be part of a very high visibility project on a mid-sized team where you will work with seasoned scientists and developers, creating solutions to complex problems within a collaborative team environment.ResponsibilitiesDevelop and apply advanced models for sensor homography, image stitching, and geometric alignment of multi-sensor and/or multi-modal imageryAnalyze remote sensing data using domain-specific knowledge of sensor and target phenomenology (OPIR, EO, MSI, etc)Implement computer vision and image processing techniques for large-scale scene exploitationSupport development and analysis of persistent collection systems and architecturesConduct technical studies involving focal plane array characteristics, such as quantum efficiency, flux density, pixel crosstalk, and noise modelingUtilize Python and/or MATLAB for prototyping, algorithm development, and data analysis to write scientific code for clutter and noise mitigation, image reconstruction, compressive sensing, tracking, detection, feature extraction and classification, stereo, machine learning, signal processing, and radiometric calculationsCollaborate on multidisciplinary R&D efforts and contribute to technical strategy developmentRequired Must Have SkillsIn-depth understanding of mathematical principles behind image registration, sensor fusion, and geometric modelingStrong grasp of scientific focal plane array (FPA) concepts, including quantum efficiency, crosstalk, pixel sensitivity, and flux behaviorFamiliarity with persistent collection systems, their design considerations, and operational implicationsDemonstrated expertise in domain-specific remote sensing, including sensor/target interactionsProficiency in both Python and MATLAB and for scientific computing and algorithm developmentExperience developing or optimizing algorithms for deployment in operational environmentsActive TS/SCI clearance with CI Scope PolygraphExperience designing and deploying computer vision algorithms in remote sensing workflowsKnowledge of spectral imaging, radiometric calibration, or sensor characterizationWorking familiarity with AI/ML techniques applied to spatial or temporal imageryRecord of published work or conference presentations in the fields of remote sensing or sensor modelingExperience transitioning algorithms from prototype to deployed system in defense or ISR environmentsQualifications (education/experience substitutions are allowed)Mid-level candidates must have a B.A./B.S. and 4 years of experienceSenior level candidates must have a B.A./B.S. and 10 years of experienceSME level candidates must have a M.A./M.S.

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