Senior Statistician/Mathematician - Quality Assurance Framework (QAF) Accreditation

Responsibilities

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 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.  Responsibilities are, but are not limited to: 

 

Statistician/Mathematician specifically: 

• 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: 

• 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. 

 

Preferred Qualifications: 

• Master’s degree in a relevant field, such as Statistics/ Mathematics or Computer Science. 

• Experience working in the customer environment is preferred. 

 

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