Peraton is seeking a Senior Modeling and Analysis Specialist to solve complex problems related to aviation safety and the National Airspace System (NAS) by using advanced data science, mathematics, and simulation techniques. The role supports the FAA's BNATCS contract, aiming to advance the safety, efficiency, and modernization of the NAS.
Requirements
- Experience in data analysis, modeling, simulation, or operational research.
- Proficiency in programming languages (e.g., Python, R) and data visualization tools (e.g., Tableau, Power BI).
- Strong skills in statistical analysis and working with large datasets.
- Strong background in statistical inference, regression analysis, stochastic processes, optimization, and Monte Carlo simulations.
- Experience with SQL, PostgreSQL, or NoSQL databases for data extraction, transformation, and analysis.
- Familiarity with big data technologies such as Hadoop or Spark.
- Proficiency with AWS, Azure, or GCP for deploying analytical tools and managing data pipelines.
Responsibilities
- Responsible for leading the development and application of advanced modeling and analytical techniques to support the BNATCS program.
- Develop analytical tools, evaluate operational impacts, and deliver insights that directly influence policy, safety standards, and NextGen modernization initiatives.
- Conduct safety studies by analyzing complex aviation data to identify trends, hazards, and risks.
- Develop and enhance analytical tools and simulation models to evaluate FAA systems and forecast the impact of new technologies, standards, and procedures.
- Perform operational impact analyses for airports, including establishing annual service volume and assessing new procedures.
- Create data visualizations, dashboards, and reports to communicate findings and recommendations to FAA leadership and stakeholders.
- Support NextGen modernization initiatives, contributing to the development of advanced systems for the NAS.
Other
- U.S. Citizenship Required.
- Must have the ability to obtain / maintain a Public Trust clearance.
- Bachelor’s degree and 12 years in Data Science, Engineering (Aerospace, Civil, Electrical, etc.), Mathematics, Operations Research, Physics, or Economics or Masters degree and 10 years or PHD and 7 years experience.
- Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent problem-solving, organizational, and collaborative skills.
