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Lockheed Martin

Data Scientist Sr - E3

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Description

Standard Job Description

The Mission Integration, Analysis and Assessments group is searching for a high energy individual with a strong background in astrodynamics, satellite operations, and/or Space Domain Awareness. The selected candidate will lead modeling, simulation, and analysis studies that provide data driven insights to leaders across multiple Lines of Business within LM Space, helping shape their strategies to meet customer needs.

Your responsibilities will include the following:

  • Lead and perform studies to model and analyze Space sensing performance and trades (i.e. collection, resource allocation, access, gaps, etc.)
  • Regularly engage with internal and external stakeholders to understand their analysis needs, plan analysis tasks, and lead small teams to deliver valuable findings to stakeholders
  • Present findings to key stakeholders assessing enterprise performance under a variety of configuration options to drive decision making
  • Help various programs establish Tactics, Techniques, and Procedures (TTPs) for space protection

Basic Qualifications

  • Experience with modeling, simulating, and analyzing satellite systems
  • Experience in modeling and simulation tools such as STK, ODTK, AFSIM, OD++, etc
  • Bachelor’s degree or higher in a Science, Technology, Engineering, and Mathematics (STEM) field
  • Programming and scripting experience using MATLAB, Python, R, or other languages
  • Current TS/SCI clearance

Desired Skills

  • Experience with astrodynamics, orbit determination, Space Domain Awareness, satellite operations, resiliency, space security, space control, space protection
  • Experience with sensor (EO/IR/RF) payload modeling and simulation
  • Experience with Department of Defense, Intelligence Agency, civil, or commercial satellite programs
  • Experience leading small engineering teams
  • Demonstrated track record of authoring final deliverables documenting analysis methodology, assumptions, and conclusions
  • Strong Math, Physics, and/or Statistics background
  • Demonstrated capability to proactively work through difficult technical, project and resource challenges in often ambiguous circumstances
  • Demonstrated ability to collaborate successfully between multiple engineering disciplines

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