Expert Statistician​/Mathematician - Quality Assurance Framework Security Clearance

Position: Expert Statistician/Mathematician - Quality Assurance Framework with Security Clearance
About Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace.

The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit  to learn how we're keeping people around the world safe and secure. Program Overview About

The Role 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. Responsibilities:
The Expert 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. Responsibilities are, but are not limited to:
Statistician/Mathematician specific:
* 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. QAF specific:
* 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. Qualifications

Required Qualifications:

* Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, etc., with a minimum of 20 years of work experience.
* Expertise in Statistics/ Mathematics…