Home › Companies › GRVTY › Imagery Scientist (EO)- Expert
Imagery Scientist (EO)- Expert
GRVTY · St. Louis, Missouri, United States · Remote · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | GRVTY |
| Title | Imagery Scientist (EO)- Expert |
| Normalized title | - |
| Department / team | Space Intelligence Business Unit |
| Location | St. Louis, MO, United States |
| Work model | Remote / Remote |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-05-20 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from GRVTY. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in St. Louis. | Open |
| Department jobs | Active postings in Space Intelligence Business Unit. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | GRVTY |
| Source | c53f1e7e-e510-4d62-b0fe-7e85c54942f5 |
| ATS provider | Greenhouse |
Description
What Impact You'll Have
GRVTY is seeking a motivated and experienced imagery scientist to serve as the lead Electro-Optical subject matter expert (SME) on our dynamic team. 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
Serve as the lead technical authority for EO exploitation and imagery science initiatives.
Analyze:
EO collection capabilities
Sensor phenomenology
Image formation processes
Exploit imagery to identify and locate objects of interest across intelligence scenarios
Develop, test, and evaluate:
New algorithms
Exploitation methodologies
Scientific workflows
Automated processing techniques
Utilize advanced processing tools including:
Python
MATLAB
Google Earth Engine
Support automation of EO scientific processing and analysis workflow
Assess emerging EO sensor characteristics and capabilities
Evaluate impacts to:
Metadata structures
Data formats
APIs and ETL processes
Existing operational pipelines
Develop strategies to:
Pre-process EO imagery
Normalize and standardize datasets
Convert formats and tile imagery
Prepare imagery for:
Labeling
Model testing
Advanced exploitation workflows
Investigate gaps in emerging EO sensor capabilities
Collaborate with SAR Imagery Scientists to:
Identify coincident imagery opportunities
Align EO imagery with temporal and geographic collection windows
Support multi-INT exploitation workflows
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
Demonstrated expertise 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
Hands-on experience using:
Python
MATLAB
Google Earth Engine
EO imagery processing tools
Experience automating scientific processing workflows
Experience developing and evaluating:
Algorithms
Automated workflows
Scientific exploitation methods
Deep 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
Why Choose GRVTY
The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We’re purpose-built to tackle the most entrenched, systemic national security issues around the world.
We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.
At GRVTY, we believe that when our employees thrive, our company thrives. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.
• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events
EEO Statement
GRVTY, 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 status as a protected veteran and will not be discriminated against on the basis of disability.
Anyone requiring reasonable accommodations should email [email protected] or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days.
Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)
Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.
Full job record
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| Board ID | c53f1e7e-e510-4d62-b0fe-7e85c54942f5 |
| Provider | greenhouse |
| Provider Job Key | 4254264009 |
| Title | Imagery Scientist (EO)- Expert |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | St. Louis, Missouri, United States |
| Department | Space Intelligence Business Unit |
| Team | — |
| Employment Type | — |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | MO |
| City | St. Louis |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/grvty/jobs/4254264009 |
| Apply URL | https://job-boards.greenhouse.io/grvty/jobs/4254264009 |
| First Seen At | 2026-05-29 22:42:28Z |
| Last Seen At | 2026-06-06 07:34:57Z |
| Last Checked At | 2026-06-06 07:34:57Z |
| Last Changed At | 2026-05-29 22:42:28Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 21:56:20Z |
| Source Updated At | 2026-05-20 21:56:20Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=grvty/date=2026-06-06/2026-06-06T07-34-57-688Z-7d9456846546cbcbad531eb144c939a956884cc47614e515aa88fd886f2f441c.json |
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