Data Scientist

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

At Aerospace, we are committed to providing an inclusive and diverse workplace for all employees to share in our common passion and aspiration – to carry out a mission much bigger than ourselves.

The Electronics and Sensors Division (ESD) is a world-class engineering and scientific leader in electronics and remote sensing systems. Our staff includes subject matter experts across a broad range of disciplines including radio frequency; infrared; visible and spectral sensors; sensor exploitation methods; analog and digital electronics; vehicle power systems; and space system electronic parts, materials, and processes. Our expertise, combined with sophisticated in-house laboratories, prototyping, modeling, and simulation capabilities, enables ESD to deliver innovative solutions to national space systems and civil customers. 

The Machine Intelligence and Exploitation Department (MIXD) resides within ESD and is in Chantilly, VA and Colorado Springs, CO.  We specialize in applying Artificial Intelligence/Machine Learning (AI/ML) to extract information from and enhance the value of our customers’ data.  Applications include data fusion/integration, computer vision, pattern recognition and anomaly detection on large, diverse datasets for automation, discovery, and predictive modeling.

We are looking for AI/ML practitioners with strong backgrounds in remotely sensed data to grow our department of highly skilled technical specialists. Join us today and become a part of a culture of innovation, growth, technical excellence, and significant contributions to our nation’s capabilities!

Work Model: This is an onsite role, requiring at least 4 days/week onsite in Chantilly, VA or Colorado Springs, CO

What You’ll Be Doing

• Develop innovative and sophisticated AI/ML applications for information extraction including computer vision, data fusion, pattern recognition, and anomaly detection in support of automation and predictive modeling.
• Explore the art of the possible and prototype AI/ML-based solutions for the government across multiple domains.
• Review and characterized the performance of contractor supplied AI/ML solutions to support program acquisition activities. 
• Inform the government on an effective path forward in the application of AI/ML to their mission
• Support a portfolio of high-impact projects, engaging with other experts across multiple disciplines to explore innovative enterprise solutions to critical national missions. 

What You Need to be Successful – Senior Member of Technical Staff

Minimum Requirements:

• Master’s degree from an accredited program in the physical sciences, engineering, computer science or related technical discipline. 
• 4 or more years of experience post bachelor’s degree working with AI/ML frameworks such as PyTorch.
• Experienced using Python to implement AI/ML and data science solutions.
• Strong desire to grow your knowledge and expertise in the application of AI/ML to data fusion, computer vision, pattern recognition, anomaly detection and predictive modeling.
• Desire to learn signal and/or image processing and the underlying physical phenomenologies.
• This position requires ability to obtain and maintain a Top Secret/SCI access clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.

In addition to the above, the minimum requirements for Engineering Specialist:

• Minimum 7 years of experience post bachelor’s degree.
• Background in signal processing, image science, spectral analysis, spatial analysis and/or computer vision.
• Demonstrated expertise in Deep Learning, Graph Applications, Natural Language Processing, and/or large databases.

How You Can Stand Out

It would be impressive if you have one or more of these:

• Advanced degree in a physical science, engineering, computer science, or related technical discipline  
• Demonstrated expertise in developing and applying AI/ML