Expert Computer Scientist - Quality Assurance Framework (QAF) Ac Jobs

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 peraton.com to learn how we're keeping people around the world safe and secure.

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 Computer Scientist - Quality Assurance Framework (QAF) Accreditation utilizes expertise in designing, developing, and maintaining data systems and software to create and maintain these systems, develop new technologies and algorithms, and solve complex computing and data system problems. This position will focus on QAF Accreditation. Responsibilities are, but are not limited to:

Computer Science specific:

• Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques.

• Correlate complex, technical findings into graphical, written, visual and verbal narrative products.

• Assess trends for existing data to identify and leverage other data sources.

• Develop and utilize machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.

• Integrate or code algorithms to support Government intelligence search and discovery missions.

• Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints.

• Employ data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.

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 Computer Science, with a minimum of 20 years of work experience.

• Expertise in algorithm development, data structures, and software development practices.

• 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:

• Doctorate degree in a relevant field, such as Computer Science.

• Experience working in the customer environment is preferred.

Security Clearance:

This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.

Details

Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.