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Imagery Scientist; EO- Expert

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: Dormont Manufacturing Co
Full Time position
Listed on 2026-07-03
Job specializations:
  • IT/Tech
    AI Business & Operations, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
  • Research/Development
    AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Imagery Scientist (EO)- Expert
Location: St. Louis

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, and 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, and automated processing techniques.
  • Utilize advanced processing tools including Python, MATLAB, and 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, and existing operational pipelines.
  • Develop strategies to preprocess EO imagery, normalize and standardize datasets, and convert formats and tile imagery.
  • Prepare imagery for labeling, model testing, and advanced exploitation workflows.
  • Investigate gaps in emerging EO sensor capabilities.
  • Collaborate with SAR Imagery Scientists to identify coincident imagery opportunities and 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, and exploitation products and methodologies.
  • Experience exploiting EO imagery to detect, identify, and locate objects of interest.
  • Experience developing and evaluating algorithms, scientific workflows, and exploitation methodologies.
  • Hands‑on experience using Python, MATLAB, Google Earth Engine, and EO imagery processing tools.
  • Experience automating scientific processing workflows.
  • Deep understanding of remote sensing principles, EO imagery processing, advanced exploitation methods, and sensor/platform limitations and advantages.
  • Proven ability to communicate technical concepts to technical audiences, non‑technical stakeholders, and intelligence users.
What Would be Nice to Have
  • Experience applying computer vision and machine learning techniques to EO imagery and data to address intelligence problems.
Benefits
  • Robust health plan including medical, dental, and vision.
  • Health Savings Account with company contribution.
  • Annual paid time off and paid holidays.
  • Paid parental leave.
  • 401(k) 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  or call 703‑544‑7930 with requested details. A member of the HR team will respond to your request within two business days.

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