About The Position

Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/ data analysis environments worldwide that enable speedy and precise decision making to warfighters. The Senior Statistician/Mathematician - Quality Assurance Framework (QAF) Accreditation specializes in collecting, analyzing, and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making. This position will focus on QAF Accreditation.

Requirements

  • Bachelor’s degree in a relevant field, such as Statistics/ Mathematics or Computer Science, with a minimum of 17 years of experience or master’s degree with a minimum of 12 years of work experience.
  • Strong capabilities in Statistics/ Mathematics application.
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Experienced in utilization of the Quality Assurance Framework and standards.
  • Experienced in advanced analytics, machine learning, and data integration methodologies.
  • Experienced with intelligence databases, software, and analytical tools.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.

Nice To Haves

  • Master’s degree in a relevant field, such as Statistics/ Mathematics or Computer Science.
  • Experience working in the customer environment is preferred.

Responsibilities

  • Develop and apply mathematical theories and statistical methods to solve intelligence problems.
  • Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems.
  • Develop mathematical or statistical models of phenomena for analysis or computational simulation.
  • Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data.
  • Plan and perform data collection for projects, determining types/sizes of sample groups and parameters.
  • Prepares data for processing by organizing information and checking for inaccuracies.
  • Process large amounts of data for statistical modeling and graphic analysis/ metrics.
  • Develop software or work with developers to automate the collecting and processing of data.
  • Produce the results of analyses in graphs, charts, tables, and metrics.
  • Prepare products to describe and document findings and activities; provide briefings to decision makers.
  • Review and evaluation of QAF documentation submitted by advanced analytic product owners.
  • Ensure compliance with tradecraft standards and adherence to best practices in Artificial Intelligence (AI) system development and deployment.
  • Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to advanced analytic product owners and developers.
  • Support maintaining a QAF documentation repository to facilitate knowledge sharing and best practices.
  • Collaborate with product owners and developers to identify and address potential issues or gaps in QAF documentation.
  • Develop and deliver training materials and workshops to educate advanced analytic product owners, developers, and stakeholders on the QAF process and its application in AI system development.
  • Assist analytic methodologists and advanced analytic product owners in translating technical documentation into analytic tradecraft compliant language.
  • Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language.
  • Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards.
  • Support capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.

Benefits

  • Salary range: $135,000 - $216,000, determined by various factors including experience, education, and geographic location.
  • Eligibility for overtime, shift differential, and discretionary bonus in addition to base pay.
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