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GEOINT Science Technologist/Engineer/Mathematician in Dayton, OH at Booz Allen Hamilton Inc.

Date Posted: 11/26/2018

Job Snapshot

Job Description

Job Number: R0041595

GEOINT Science Technologist/Engineer/Mathematician

The Challenge:

What if you could use your engineering skills to transform national security? As an electrical engineer, you understand the power behind complex systems. That knowledge is key when it comes to the analysis of sensor data collected from multiple platforms from Earth to space, transforming 1’s and 0’s into actionable intelligence in support of our nation. We’re looking for an electrical engineer who can use their skills to process, analyze, assess, and integrate synthetic aperture radar signatures in support of an Air Force client.

Our team of engineers, scientists, and intelligence professionals provides operational expertise, leveraging advances in signal sensing and processing capabilities across the entire electromagnetic spectrum. This intelligence discovery helps our Air Force client prevent operational or technological surprises. That’s why we need you, an electrical engineer, intellectually curious, and eager to use your signal processing and target signature expertise to help us design and develop tools and capabilities that will fully extract target knowledge from the collected sensing data. You’ll learn how to process, analyze, assess, and integrate diverse sensor data flows in support of intelligence discovery, bringing innovation in the form of machine learning algorithms to add sophistication and precision in response to a technologically-evolving target set. You’ll directly impact the geospatial intelligence discipline by providing innovation and new thinking in the analysis of synthetic aperture radar data. This intelligence transformation requires the academic training and know-how associated with STEM disciplines. By connecting the dots at the right place and the right time, your contributions will impact our national security. This is a chance to grow your data analysis, radar signal processing, intelligence discovery skills while gaining experience in how the intelligence community is reinventing itself in an era impacted by the proliferation of artificial intelligence and machine learning expertise that, if left unattended, will impact our way of life. Join us and take on exciting challenges in synthetic aperture radar signals analysis as we continue to advance the operational capabilities of our client and nation. 

Empower change with us.

Build Your Career:

When you join Booz Allen, you’ll have the opportunity to connect with other professionals doing similar work across multiple markets. You’ll share best practices and work through challenges as you gain experience and mentoring to develop your career. In addition, you will have access to a wealth of training resources through our Engineering & Science University, an online learning portal where you can access more than 5000 tech courses, certifications and books. Build your technical skills through hands-on training on the latest tools and tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site courses, vendor relationships, and a network of experts who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

You Have:

-5+ years of experience with GEOINT synthetic aperture radar analysis

-5+ years of experience with intelligence, surveillance, and reconnaissance (ISR) sensor collection systems or processes, including radio frequency (RF) radar or electro-optic and infrared, including EO or IR imaging, hyperspectral imaging (HSI), or light detection and ranging radar (LIDAR)

-5+ years of experience with airborne systems and national technical means collection platforms

-5+ years of experience with the calibration procedures for synthetic aperture radar data sources

-5+ years of experience with data reporting, including shape files, KML files, scripting, and signature libraries

-5+ years of experience with root-cause analysis associated with data anomalies

-3+ years of experience with developing algorithms or data analysis solutions in MATLAB, Python, Pandas, and Java

-Ability to communicate data analysis results to community peers and mission stakeholders effectively both orally and in writing

-Active TS/SCI clearance

-BS degree in EE, Mathematics, or Computer Engineering

Nice If You Have:
-Experience with using data science, artificial intelligence, or machine learning to analyze GEOINT data

-MS degree in EE, Mathematics, or Computer Engineering
 

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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