GEOINT Remote Sensing Scientist - Exploitation

Radiance Technologies; Beavercreek (OH); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Employee ownership

401K plan

Comprehensive benefits (health/dental/

Educational reimbursement

Competitive salaries

Pleasant work environment

Job summary

Radiance Technologies is seeking a highly qualified scientist to support GEOINT production in the Dayton, OH area. The role focuses on advancing spectral, thermal, and SAR analysis and developing processing techniques for PED of remotely sensed data.

You will collaborate with engineers and analysts, provide technical leadership, and contribute to complex data exploitation projects using rigorous engineering principles.

Qualifications

• Bachelor's Degree (or higher) in a STEM 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.

Responsibilities

• 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 datasets using engineering principles and physics-based analysis.
• Perform algorithm development for complex data exploitation processes.

Skills

Experience processing remote sensing

TS clearance with SCI eligibility

Signal processing knowledge

Team collaboration

Technical writing & briefing

Education

Bachelor's Degree in STEM

Tools

ENVI

ArcGIS

Python

IDL

Job description

Radiance Technologies is seeking a highly qualified scientist to support GEOINT production in the Dayton, OH area. The role focuses on advancing spectral, thermal, and SAR analysis and developing processing techniques for PED of remotely sensed data.

You will collaborate with engineers and analysts, provide technical leadership, and contribute to complex data exploitation projects using rigorous engineering principles.