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Data Scientist

Apex Tk
Full-time
On-site
Chantilly, Virginia, United States
$130 - $205 USD yearly

APEX TK is seeking a highly motivated and skilled Data Scientist to join our team supporting a critical government client. This position offers the opportunity to support RDT&E for cutting-edge projects supporting space-based systems.

Responsibilities:

  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.

Required Qualifications:

  • Bachelor’s or Master’s degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Active Top Secret/SCI w/Poly Clearance
  • Strong understanding of sensor phenomenology—such as optical, infrared, or radar systems—and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in both written and verbal formats.

Preferred Qualifications:

  • Master's degree in a STEM related field.
  • 6+ years of related experience.
  • Experience with other simulation tools and programming languages.
  • Experience with non-cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure).