Overview Arcfield is a leading provider of full lifecycle, mission-focused systems engineering and integration capabilities to the U.S. government and its allies. The company has more than 60 years of proven experience providing advanced engineering and analysis, IT and C5ISR capabilities to support our nation’s most critical national security missions. Headquartered in Chantilly, VA and with 16 offices around the world, Arcfield employs approximately 1,200 engineers, analysts, IT specialists, and other professionals who put our customers’ missions first, helping them solve their most complex challenges through innovations in modeling, simulation and analysis, digital transformation and C5ISR. Visit arcfield.com for more details. Responsibilities Program Description: The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support. Position Description: The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to: Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets Develop data-driven solutions Analyze data sets found in the customer's vulnerability scanning, auditing, authorization, and configuration management tools Import, transform, analyze, and visualize data and report actionable insights to the customer (e.g., Tableau) Provide analysis and graphical presentations of collected metrics for IA compliance status reporting Support and evolve legacy visualization and situational awareness tools based on Microsoft Excel into modern data-driven solutions Collaborate with Risk Management teams to develop means to integrate, automate, and provide dynamic visualization capabilities for risk management efforts Qualifications Required: Requires 8 to 10 years with BS/BA or 6 to 8 years with MS/MA or 3 to 5 years with Ph.D. Must possess and be able to maintain a TS/SCI with Poly Able to support customer’s core hours (0900-1500; Mon – Fri) Must possess DoD 8570 certification in IAT or IAM or able to attain within 6 months of contract start Deep understanding of statistics and analysis Skilled in artificial intelligence and machine learning (e.g., SageMaker) Ability to code in multiple languages, including Python Knowledge of databases, data structures, and data architectures Excellent communications skills – both verbal and non-verbal Office Automation Skills – MS Office, MS Project, Visio Self-starter requiring limited direction and supervision Strong attention to detail Ability to work in a team environment Experience with data visualization tools (e.g., Tableau, Infogram, Chartbloks) Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.) Experience applying statistical analysis to large data sets Desired: Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) Experience briefing senior customer personnel Ability to organize and prioritize numerous customer requests in a fast-paced deadline driven environment Familiarity with Amazon Web Services (AWS) Familiarity with customer's IA processes Experience with ServiceNow and Splunk Experience supporting IC or DoD in the Cyber Security Domain Familiarity with the RMF process Experience with Relational Database Management System (RDMS) Experience with Amazon Elastic MapReduce (EMR) and SageMaker Experience with Machine Learning or Artificial Intelligence EEO Statement EEO Arcfield proactively fulfills its role as an equal opportunity employer. We do not discriminate against any employee or applicant for employment because of race, color, sex, religion, age, sexual orientation, gender identity and expression, national origin, marital status, physical or mental disability, status as a Disabled Veteran, Recently Separated Veteran, Active-Duty Wartime or Campaign Badge Veteran, Armed Forces Services Medal, or any other characteristic protected by law.