Predictive Modeling Analyst IV

Job ID
# of Openings Remaining
Residency Status
U.S. Citizenship Required
Top Secret/SCI
Employee Type
Time Type
Full Time


Vencore is a proven provider of information solutions, engineering and analytics for the U.S. Government. With more than 40 years of experience working in the defense, civilian and intelligence communities, Vencore designs, develops and delivers high impact, mission-critical services and solutions to overcome its customers most complex problems.

Headquartered in Chantilly, Virginia, Vencore employs 3,800 engineers, analysts, IT specialists and other professionals who strive to be the best at everything they do.

Vencore is an AA/EEO Employer - Minorities/Women/Veterans/Disabled


 Specific responsibilities include, but are not limited to:


  • Determine customer analysis requirements while defining project scope and managing analytical product deliverable schedules
  • Support systems engineering technical exchanges and meetings
  • Develop analysis reports and briefings to present to varying levels of government customers
  • Analyze detailed system requirements and specifications for large, distributed architectures
  • Translate satellite technical data information into model parameters for a complex, bespoke orbital modeling program
  • Apply knowledge of orbital mechanics, aerospace and physics to model technical parameters of satellites; validate models as part of a small team
  • Operate and modify software within a Unix platform workspace
  • Apply a working knowledge of SAS, R, Python or other data modeling languages to modify or develop pre- and post-processing sequences for satellite performance modeling
  • Query large relational data sets using Transactional SQL, applying intermediate concepts such as primary / foreign keying and joining to derive meaningful conclusions regarding performance of intelligence systems
  • Perform Modeling & Simulation to determine mission impacts of near and long term future enterprise capabilities spanning the entire tasking, collection, processing, exploitation and dissemination (TCPED) cycle for providing geospatial information support
  • Lead the development of predictive analysis to determine future data trends and assess potential chokepoints and system performance issues while evaluating key performance indicators
  • Coordinate future acquisition and development activities to enable the modeling and simulation of the to-be capability state


Required Qualifications:

  • Active TS/SCI Clearance
  • Bachelor’s or Master’s degree in engineering (aerospace, mechanical, electrical, software), physics, mathematics, or similar technical discipline , with 8+ years of domain experience
  • 11+ years of experience with systems analysis, modeling and performance analysis or related experience
  • Intermediate to advanced knowledge of orbital mechanics, aerospace and physics in the context of satellite operation and remote sensing.
  • In depth experience in remote sensing collection performance; detailed understanding of end-to-end Satellite engineering
  • Experience with modeling, simulation and analysis through application of SAS, R, Python or other data modeling languages, T-SQL or other relational query languages, and Unix-based tools and applications
  • Ability to interpret requirements, specifications and CONOPs documents
  • Demonstrated experience in leading or performing data analytics and assessments, projects and/or studies
  • Excellent analytical and problem solving skills; experience using logic and reasoning to identify the strengths and weaknesses of alternative technical solutions or approaches to problems
  • Excellent presentation and communication skills
  • Demonstrate ability to clearly explain technical issues to technical and non-technical audiences; Excellent oral presentation and writing skills
  • Ability to work independently or within a team environment


Desired Qualifications:


  • Working knowledge of intelligence community satellite engineering, remote sensing and/or geospatial programs
  • Experience developing visualizations in ArcGIS to synthesize synthetic and known geospatial data, for modeling purposes
  • Experience applying FORTRAN and C languages in the development of large-scale modeling and simulation software applications
  • Experience in multi-INT analysis and demonstrations


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