Satellite System Data Analyst (Clearance Rq'd)
: Job Details :

Job ID: 678601BR Date posted: Oct. 14, 2024 Program: Forecast SimulatorDescription:The coolest jobs on this planet... or any other... are with Lockheed Martin Space.At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator, and builder. Our amazing people are on a mission to make a difference in the world and every day we use our unique skills and experiences to create, design and deliver results to some of the worlds' hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and spirit to dream big, we want to strengthen a better tomorrow with you.Do you want to be part of a company that inspires employees to think big, perform with excellence and deliver incredible products? If so, then we would love to speak with you! Lockheed Martin Space is a highly dynamic and growing organization that provides mission-critical results from the development and maintenance of satellite systems through their life cycle.Our amazing employees are on a mission to make a difference in the world; every single day we use our ingenuity and experiences to create, design and deliver results to some of the worlds' hardest engineering problems.The Enterprise Operations Analysis (EOA) team is searching for a high energy individual with a excellent background in astrodynamics, satellite operations, and/or Space Domain Awareness. The selected candidate will lead modeling, simulation, and analysis studies that provide data insights to leaders across multiple Lines of Business within Lockheed Martin Space, helping shape their strategies to meet customer needs.Your responsibilities will include the following: Lead and perform studies to model and analyze ground-based and space-based sensing performance and trades of space targets (e.g. 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 strengthen resolution making Help various programs establish Tactics, Techniques, and Procedures (TTPs) for space protection.Basic Qualifications: 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 Active or Current TS/SCI clearance; US Citizenship RequiredDesired Skills: ISR domain and/or Space Security experience Programming and scripting experience using MATLAB, Python, R, or similar languages Experience leading small engineering teams Demonstrated track record of authoring final deliverables documenting analysis methodology, assumptions, and conclusions Experience with applying Data Science and Machine Learning techniques within analysis to drive more comprehensive results Strong Math, Physics, and 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 Bachelor's degree or higher in a Science, Technology, Engineering, and Mathematics (STEM) fieldSecurity Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.Clearance Level: TS/SCI w/PolyOther Important Information You Should KnowExpression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.Schedule for this Position: 9x80 every other Friday offLockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.Experience Level: Experienced ProfessionalBusiness Unit: SPACERelocation Available: PossibleCareer Area: Data ScienceType: Full-TimeShift: First