Satellite System Data Scientist Analyst

$107,400 - $202,400/Yr

Lockheed Martin - King of Prussia, PA

Full-time - Mid Level

King of Prussia, PA

Transportation Equipment Manufacturing

About the position

The Satellite System Data Scientist Analyst at Lockheed Martin Space is responsible for leading modeling, simulation, and analysis studies related to satellite systems. This role involves engaging with stakeholders to understand their analysis needs and delivering insights that shape strategies across multiple lines of business. The position requires a strong background in astrodynamics, satellite operations, and Space Domain Awareness, contributing to mission-critical results in the development and maintenance of satellite systems.

Responsibilities

• Lead and perform studies to model and analyze ground-based and space-based sensing performance and trades of space targets.
• Engage with internal and external stakeholders to understand their analysis needs and plan analysis tasks.
• Lead small teams to deliver valuable findings to stakeholders.
• Present findings to key stakeholders assessing company performance under various configuration options.
• Help various programs establish Tactics, Techniques, and Procedures (TTPs) for space protection.

Requirements

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

Nice-to-haves

• Experience with astrodynamics, Space Domain Awareness, satellite operations, resiliency, space security, space control.
• 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.

Benefits

• Medical
• Dental
• Vision
• Life Insurance
• Short-Term Disability
• Long-Term Disability
• 401(k) match
• Flexible Spending Accounts
• EAP
• Education Assistance
• Parental Leave
• Paid time off
• Holidays