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Sensor Scientist Jobs in Springfield, VA (NOW HIRING)

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... new sensor characteristics and capabilities compared to currently utilized platforms * Assess ... Scientific workflows * Exploitation methodologies * Experience automating scientific processing ...

Bcore

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190 - $235/hr

Overview Senior SAR Imagery Scientist Springfield, VA Active TS/SCI eligibility with eligibility to ... Responsibilities You will serve as the technical lead on SAR data quality, sensor integration, and ...

New

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

Sensor modeling; decomposing product formation elements to quantify the overall quality of the ... Science, Data Science, Mathematics or related STEM degree and 0-2 years of experience ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Overview Senior SAR Imagery Scientist Springfield, VA or St. Louis, MO Active TS/SCI eligibility ... Louis, MO. Responsibilities You will serve as the technical lead on SAR data quality, sensor ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

Senior SAR Imagery Scientist Springfield, VA or St. Louis, MO Active TS/SCI eligibility with ... You will serve as the technical lead on SAR data quality, sensor integration, and imagery ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190K - $235K/yr

Overview Senior SAR Imagery Scientist Springfield, VA or St. Louis, MO Active TS/SCI eligibility ... Louis, MO. Responsibilities You will serve as the technical lead on SAR data quality, sensor ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · On-site

$190 - $235/hr

Overview Senior SAR Imagery Scientist Springfield, VA Active TS/SCI eligibility with eligibility to ... Responsibilities You will serve as the technical lead on SAR data quality, sensor integration, and ...

Peraton

Image Scientist (Entry-level)

Springfield, VA · On-site

$80K - $128K/yr

Sensor modeling; decomposing product formation elements to quantify the overall quality of the ... Science, Data Science, Mathematics or related STEM degree and 0-2 years of experience ...

GRVTY

Imagery Scientist (SAR) - Expert

Falls Church, VA · On-site

$180K - $210K/yr

Conduct assessment of potential differences between new sensor characteristics and capabilities ... Automated scientific workflows using advanced processing tools including: * Python * MATLAB

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Showing results 41-60

All JobsSensor Scientist JobsSensor Scientist Jobs in Springfield, VA

Sensor Scientist information

See Springfield, VA salary details

$52.7K

$116.3K

$143.6K

How much do sensor scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for sensor scientist in Springfield, VA is $116,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $143,100.00 per year, depending on experience, location, and employer.

What is a sensor scientist?

Sensor Scientists are professionals who research, design, develop, and test sensors used to detect and measure physical properties such as temperature, pressure, motion, light, or chemical composition. They work in a variety of industries including electronics, automotive, environmental monitoring, healthcare, and manufacturing. Sensor Scientists often collaborate with engineers to improve existing sensor technology or create new types of sensors for specialized applications. Their work involves both theoretical analysis and hands-on experimentation to enhance sensor performance, reliability, and integration into systems.

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

A Sensor Scientist typically needs a solid background in physics, chemistry, or engineering, along with experience in sensor design, data analysis, and a relevant advanced degree. Familiarity with analytical tools, simulation software, and laboratory instrumentation is crucial, and certifications in areas like instrumentation or materials science can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for excelling in this field. These competencies enable Sensor Scientists to innovate, accurately interpret sensor data, and collaborate effectively across multidisciplinary teams.

What are some common challenges sensor scientists face when developing new sensor technologies?

Sensor Scientists often encounter challenges such as ensuring sensitivity and accuracy of new sensors while maintaining cost-effectiveness and scalability for manufacturing. Integrating sensors with existing hardware and software platforms can also be complex, requiring close collaboration with engineers and data scientists. Additionally, staying up-to-date with rapidly evolving materials and technology standards is crucial, as is navigating regulatory requirements for safety and environmental impact.

What is the difference between Sensor Scientist vs Sensor Engineer?

AspectSensor ScientistSensor Engineer
CredentialsTypically requires a master's or Ph.D. in physics, chemistry, or materials scienceUsually holds a bachelor's or master's in electrical engineering, mechanical engineering, or related fields
Work EnvironmentResearch labs, academic institutions, or R&D departmentsManufacturing facilities, product development teams, or engineering firms
Primary FocusDeveloping new sensor materials and understanding sensor phenomenaDesigning, testing, and implementing sensor systems for practical applications
Industry UsageResearch and development, academia, specialized industriesElectronics, automotive, aerospace, consumer devices

Sensor Scientists focus on researching and developing new sensor materials and understanding sensor behavior, often working in labs or academic settings. Sensor Engineers apply this knowledge to design and implement sensor systems in real-world products and applications. While both roles require technical expertise, their work environments and primary objectives differ.

How to become a sensor scientist?

To become a sensor scientist, typically a bachelor's degree in engineering, physics, chemistry, or a related field is required, with many roles favoring a master's or Ph.D. in sensor technology, materials science, or electrical engineering. Developing skills in data analysis, instrumentation, and sensor design, along with experience using tools like MATLAB or LabVIEW, is also important. Gaining practical experience through internships or research projects can enhance job prospects in this specialized field.

What are popular job titles related to Sensor Scientist jobs in Springfield, VA?

For Sensor Scientist jobs in Springfield, VA, the most frequently searched job titles are:

What job categories do people searching Sensor Scientist jobs in Springfield, VA look for?

The top searched job categories for Sensor Scientist jobs in Springfield, VA are:

What cities near Springfield, VA are hiring for Sensor Scientist jobs?

Cities near Springfield, VA with the most Sensor Scientist job openings:

Sensor Scientist jobs near you
Infographic showing various Sensor Scientist job openings in Springfield, VA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,301 per year, or $55.9 per hour.

Imagery Scientist (EO) - Senior

GRVTY

Falls Church, VA • Remote

$97K - $133K/yr

Full-time

Re-posted yesterday

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced imagery scientist to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation.  The ideal candidate is an expert imagery scientist with a passion for advanced scientific problem solving, imagery exploitation, and operational intelligence support. This role will drive solutions informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

What You'll be Owning

  • Assist the EO lead in conducting assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regard to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model testing purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of expert EO imagery exploitation and imagery science experience with understanding of collection, phenomenology, image formation process, and exploitation products.
  • Demonstrated experience in:
    • EO collection systems
    • Remote sensing phenomenology
    • Image formation processes
    • Exploitation products and methodologies
  • Experience exploiting EO imagery to:
    • Detect
    • Identify
    • Locate objects of interest
  • Experience developing and evaluating:
    • Algorithms
    • Scientific workflows
    • Exploitation methodologies
  • Experience automating scientific processing workflows
  • Experience developing and evaluating:
    • Algorithms
    • Automated workflows
    • Scientific exploitation methods
  • Understanding of:
    • Remote sensing principles
    • EO imagery processing
    • Advanced exploitation methods
    • Sensor/platform limitations and advantages
  • Proven ability to communicate technical concepts to:
    • Technical audiences
    • Non-technical stakeholders
    • Intelligence users

What Would be Nice to Have

  • Experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems

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