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Remote Mathematical Engineer Jobs in Ohio (NOW HIRING)

Remote Commitment: 10-60 hours/week What You'll Do Design Challenging Problems -- Craft advanced ... mathematical proofs for technical accuracy, safety, and compliance with engineering standards (e.g ...

The individual will support advanced remote sensing exploitation functions through detailed ... Active TS/SCI Clearance * BS, MS in Physics, Applied Mathematics, Engineering, or related ...

The individual will support advanced remote sensing exploitation functions through detailed ... Active TS/SCI Clearance * BS, MS in Physics, Applied Mathematics, Engineering, or related ...

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 ...

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Senior Engineer

Cincinnati, OH · On-site +1

$100.30K - $137.70K/yr

S., consistent with dunnhumby's remote work policy. WHAT I DO | Key accountabilities * Deliver ... Bachelor's degree or higher (or foreign educational equivalent) in Computer Science, Mathematics ...

Senior Software Engineer

Dayton, OH · On-site +1

$119.10K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related ...

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119.10K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Bachelor's degree in Computer Science, Engineering, Mathematics, Physical Sciences, or a related ...

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Remote Mathematical Engineer information

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

To thrive as a Remote Mathematical Engineer, you need a strong background in advanced mathematics, problem-solving, and programming, typically with a degree in mathematics, engineering, or a related field. Familiarity with tools like MATLAB, Python, R, and mathematical modeling software, as well as experience with version control systems such as Git, is important. Strong analytical thinking, self-motivation, and effective remote communication skills help you excel in collaborative and independent work environments. These competencies ensure you can develop, implement, and communicate complex mathematical solutions for real-world problems while effectively collaborating across distributed teams.

How do Remote Mathematical Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Mathematical Engineers often work closely with software developers, data scientists, and project managers using collaborative tools like video conferencing, shared code repositories, and project management platforms. Regular virtual meetings help ensure alignment on project goals and allow for real-time problem-solving. Effective communication and documentation skills are essential, as much of the collaboration happens asynchronously. Building strong relationships with team members and proactively sharing progress updates are key to thriving in this remote, team-oriented environment.

What is a Remote Mathematical Engineer?

A Remote Mathematical Engineer is a professional who applies advanced mathematical theories, techniques, and computational methods to solve complex problems in various fields, such as engineering, finance, technology, and data science, while working from a remote location. They often develop algorithms, create mathematical models, and analyze data to support decision-making or product development. Remote roles allow these engineers to collaborate with teams and clients online, using specialized software and communication tools. This position typically requires strong analytical skills, proficiency in mathematics and programming, and the ability to work independently.

What is the difference between Remote Mathematical Engineer vs Remote Data Scientist?

AspectRemote Mathematical EngineerRemote Data Scientist
Required CredentialsMathematics, Engineering, or related technical degrees; strong analytical skillsStatistics, Computer Science, or related degrees; data analysis expertise
Work EnvironmentCollaborates with engineering teams on algorithm development and modelingAnalyzes data to extract insights, builds predictive models
Employer & Industry UsageTech, finance, aerospace, research institutionsTech companies, finance, healthcare, consulting
Search & Comparison IntentFocuses on mathematical modeling and engineering solutionsFocuses on data analysis and machine learning applications

Remote Mathematical Engineers primarily develop mathematical models and algorithms for engineering problems, often working closely with technical teams. Remote Data Scientists analyze large datasets to generate insights and predictive models. While both roles require strong analytical skills and technical backgrounds, their focus areas differ: engineering solutions versus data analysis.

What are the most commonly searched types of Mathematical Engineer jobs in Ohio? The most popular types of Mathematical Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Mathematical Engineer jobs? Cities in Ohio with the most Remote Mathematical Engineer job openings:
Physicist / Remote Sensing Scientist

Physicist / Remote Sensing Scientist

Barone Consulting

Dayton, OH • Remote

Full-time

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


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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