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Remote Remote Sensing Scientist Jobs (NOW HIRING)

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Position Overview Riverside Research is seeking a full-time Remote Sensing Scientist in support of the National Air and Space Intelligence Center (NASIC) at Wright Patterson AFB, OH. You will be ...

Radiance Technologies

Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence ... The individual will support advanced remote sensing exploitation functions through detailed ...

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How much do remote remote sensing scientist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote remote sensing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a remote remote sensing scientist?

A Remote Sensing Scientist is a professional who uses satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply scientific and mathematical principles to process and analyze data collected remotely, often for purposes such as environmental monitoring, natural resource management, or urban planning. Remote Sensing Scientists often work with geographic information systems (GIS) and use specialized software to interpret imagery, detect changes over time, and generate actionable insights. Many positions in this field can be performed remotely, allowing scientists to collaborate with international teams and access global data sources.

What are the key skills and qualifications needed to thrive as a remote remote sensing scientist?

To thrive as a Remote Sensing Scientist, you need expertise in geospatial analysis, image processing, and a strong background in earth sciences or related fields, often supported by an advanced degree. Proficiency in remote sensing software (such as ENVI or ERDAS IMAGINE), geographic information systems (GIS), and programming languages like Python or R is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for accurately analyzing satellite or aerial data and producing actionable insights for environmental monitoring, resource management, or research purposes.

How does a remote remote sensing scientist typically collaborate with interdisciplinary teams while working remotely?

As a Remote Sensing Scientist working remotely, you’ll frequently collaborate with experts in fields such as GIS, data analytics, ecology, and engineering. Team communication often takes place through virtual meetings, shared cloud platforms, and collaborative coding or data analysis tools. Strong communication skills are essential to convey technical findings and ensure data integration aligns with project goals. You'll also participate in regular project updates and cross-functional brainstorming sessions to address challenges and share insights.

What is the difference between Remote Remote Sensing Scientist vs Remote GIS Analyst?

AspectRemote Remote Sensing Scientist
CredentialsBachelor's or Master's in Remote Sensing, Geography, or related fields; GIS certifications beneficial
Work EnvironmentPrimarily office or field-based, utilizing satellite and aerial imagery analysis remotely
Employer & IndustryResearch institutions, environmental agencies, and private companies focusing on earth observation
Comparison Search IntentUnderstanding roles involving satellite data analysis and environmental monitoring

Remote Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, often requiring specialized remote sensing skills. Remote GIS Analysts work with geographic information systems to manage spatial data, often involving mapping and spatial analysis. While both roles use GIS tools, remote sensing scientists emphasize satellite data interpretation, whereas GIS analysts focus on spatial data management. Both roles are vital in environmental research, urban planning, and resource management, but their core tasks and data types differ.

More about Remote Remote Sensing Scientist jobs
What cities are hiring for Remote Remote Sensing Scientist jobs? Cities with the most Remote Remote Sensing Scientist job openings:
What are the most commonly searched types of Remote Sensing Scientist jobs? The most popular types of Remote Sensing Scientist jobs are:
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Remote Remote Sensing Scientist jobs near you
Infographic showing various Remote Remote Sensing Scientist job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 51% Physical, 4% Hybrid, and 45% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Remote Sensing Scientist

Radiance Technologies

Beavercreek, OH • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton, OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, educational reimbursement, competitive salaries, interesting assignments, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Radiance is seeking a highly qualified and motivated scientist to support Geospatial Intelligence (GEOINT) production with the opportunity to continue advancement of non-literal spectral, thermal, and/or SAR analytical processes and techniques. The individual will support advanced remote sensing exploitation functions through detailed technical data analysis and through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of remotely sensed data. The position requires working collaboratively with other engineers, scientists, and analysts on complex exploitation issues.

Job Duties

  • Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and disseminate GEOINT products
  • Provide technical leadership to teams performing exploitation and process development
  • Analyze and develop processes to support the exploitation of unique, anomalous, and difficult datasets utilizing engineering principles and a physics-based analytical approach
  • Perform algorithm development for complex data exploitation processes

Required Skills and Qualifications:

  • Bachelor's Degree (or higher) in a STEM field (Physics, Chemistry, Geology, Remote Sensing, or other relevant technical field)
  • Experience in processing and analyzing remote sensing data
  • Active TS clearance with SCI eligibility
  • Understanding of signal processing techniques for solving new problems
  • Ability to work both independently and in a team environment
  • Strong technical writing and briefing skills

Desired Skills and Qualifications:

  • Interpretation of image-based data
  • Experience with ENVI, ArcGIS, and/or similar software tools
  • Ability to code/script, such as in Python, IDL, etc.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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