Location: Colorado Springs, CO
Company: Point Solutions Group
Space Operations Command's (Sp OC) Offensive and Defensive Counterspace Team and it's Sensor's and Command and Control (C2) Analysis Team. In this role you will be building tools that use cutting-edge algorithms in support of a wide variety of space related activities to include but not limited to: Satellite positional pattern of behavior analysis Automatic weights and bias setting for a variety of sensors including ground (optical/radar) to space and space to space.
GEO Synchronous rendezvous and proximity operation (RPO) planning Candidates should have significant experience in one or more of the areas listed above. You will leverage your space domain knowledge in these areas to develop
tools in both legacy and modern programming languages to solve specific warfighter needs and capability gaps. Required Skills and Experience: Bachelor's Degree in a Data Science or STEM field 3+ years of experience supporting space/satellite related activity 3+ years of experience in Python or similar language Familiarity with scitkit-learn, matplotlib (or other plotting library), scipy, and numpy Ability to utilize appropriate algorithms to achieve desired outcomes.
Methods could include traditional statistics and machine learning (supervised and unsupervised) Experience taking projects from design and development through deployment Excellent communication skills and the ability to work
in a team with a variety of skill sets US citizenship with the ability to obtain a Do D security clearance Preferred Skills and Experience: A Master's Degree in a Data Science or other STEM field 5 years experience algorithmic development in python Experience with porting modern python into legacy python versions Experience developing on Linux and windows environments Satellite Operations Experience centered around one or both of the following RPO maneuver planning and execution and setting of sensor weights and bias Experience leading and executing technical development activities Experience with CAVENet
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