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Principal Applied Scientist - TS/SCI

Vantor
Herndon, USA
Full-time
Senior · 12+ years experience
Onsite
Discovered 3 weeks ago
python

Full Job Posting

Responsibilities:

  • Serve as the scientific lead for computational modeling and simulation activities across the program.
  • Establish scientifically rigorous methodologies for representing UTS phenomena within analytical and simulation environments.
  • Ensure analytical approaches accurately reflect the underlying physical, operational, and statistical characteristics of the data.
  • Design, develop, and validate complex agent-based models representing UTS interactions and operational environments.
  • Develop agent behaviors, environmental conditions, interaction rules, and emergent system dynamics
  • Evaluate simulation outputs for realism, repeatability, and operational relevance.
  • Evaluate government-provided datasets to identify meaningful physical, temporal, behavioral, and operational relationships.
  • Develop scientifically valid approaches for feature engineering and diagnostic vector identification.
  • Collaborate with data scientists to ensure machine learning models leverage meaningful scientific features rather than spurious correlations.
  • Assess the quality, completeness, and limitations of available data.
  • Apply statistical, probabilistic, and computational methods to characterize uncertainty and system behavior.
  • Minimum Qualifications:
  • US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly.
  • 12+ years of relevant experience.
  • Master's or PhD in physics, mathematics, statistics, operations research, engineering, science, or related discipline.
  • Strong technical leadership experience.
  • Extensive demonstrated knowledge and experience utilizing the following modeling techniques: process, predictive, physics-based, agent-based.
  • Significant current experience (i.e., within last 2 years) in modeling, using statistics to conduct predictive modeling and make estimates on future occurrences based on prior events, and using physics-based modeling to review sensor capabilities and predict sensor ability to perform tasks in a synthetic scenario
  • Experience working with diverse data sets from UTS relevant sources
  • Proficiency in Python and scientific computing libraries.
  • Experience AI/ML programs.
  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.
  • Must be able to work on-site in Herndon, Va.

Preferred Qualifications:

  • Experience with agent-based modeling.
  • Experience supporting operational environments and/or Government R&D projects.
  • published modeling reports and/or authored new procedures/methods to create innovative modeling approaches to solve complex issues
  • Experience modeling human behavior, adversarial systems, or complex adaptive systems.
  • Experience with reinforcement learning, Bayesian inference, Monte Carlo methods, or stochastic simulation.
  • Familiarity with explainable AI (XAI) and integrating scientific principles into machine learning workflows.
  • Experience developing digital twins or high-fidelity operational simulations.
  • Experience supporting personnel recovery, force protection, intelligence analysis, or mission planning.
  • Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
  • For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
  • Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
  • The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
  • The date of posting can be found on Vantor's Career page at the top of each job posting.
  • To apply, submit your application via Vantor's Career page.
  • EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Qualifications

  • US Citizen and must have an active TS/SCI clearance, with ability to obtain CI Poly.
  • 12+ years of relevant experience.
  • Master's or PhD in physics, mathematics, statistics, operations research, engineering, science, or related discipline.
  • Strong technical leadership experience.
  • Extensive demonstrated knowledge and experience utilizing the following modeling techniques: process, predictive, physics-based, agent-based.
  • Significant current experience (i.e., within last 2 years) in modeling, using statistics to conduct predictive modeling and make estimates on future occurrences based on prior events, and using physics-based modeling to review sensor capabilities and predict sensor ability to perform tasks in a synthetic scenario
  • Experience working with diverse data sets from UTS relevant sources
  • Proficiency in Python and scientific computing libraries.
  • Experience AI/ML programs.
  • Ability to clearly communicate technical concepts and analytical results in writing and verbally.
  • Must be able to work on-site in Herndon, Va.
  • Experience with agent-based modeling.
  • Experience supporting operational environments and/or Government R&D projects.
  • published modeling reports and/or authored new procedures/methods to create innovative modeling approaches to solve complex issues
  • Experience modeling human behavior, adversarial systems, or complex adaptive systems.
  • Experience with reinforcement learning, Bayesian inference, Monte Carlo methods, or stochastic simulation.
  • Familiarity with explainable AI (XAI) and integrating scientific principles into machine learning workflows.
  • Experience developing digital twins or high-fidelity operational simulations.
  • Experience supporting personnel recovery, force protection, intelligence analysis, or mission planning.
  • Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
  • For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

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