Overview Arcfield was purpose-built to protect the nation and its allies through innovations in digital transformation, space mission engineering and launch assurance, miniaturized sensors and satellites, advanced modeling and simulation, cybersecurity, and conventional and hypersonic missile support. Headquartered in Chantilly, VA with 16 global offices, Arcfield employs more than 1,500 engineers, analysts, IT specialists, and other professionals with more than 60 years of collective proven experience supporting missions in cyber and space defense, space exploration, hypersonic and nuclear deterrence and warfighter readiness. Visit arcfield.com for more details. Responsibilities Arcfield is looking for a highly skilled Data Systems Engineer proficient in Advanced Analytics, Computational Social Sciences, AI/ML, or Data Science. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. The ideal candidate will have a strong eye for patterns in data, and the ability to bring our Sponsor’s materials to life across various platforms. Duties Develop well-documented, actionable, measurable, testable, traceable, requirements to identify needs or opportunities, and defined to a level of detail sufficient for system design. Support development and allocation of system requirements to system components and maintain traceability between user and component-level system requirements. Develop SOWs and associated requirements documents. Identify and maintain awareness of sources of technical data to support intelligence analysis, obtain and maintain access to such data, and develop/perform queries against those sources. Provide initial analysis of data and its source using both quantitative and qualitative approaches, develop analytic judgements such as relevance or vulnerabilities, and prepare briefings/reports documenting the methodology used and the results obtained. Develop new data storage design concepts that are consistent with architectural guidance and industry best practices and analyze the cost, schedule, and performance implications of these design concepts. Assist with the assessment of development system design and implementation deliverables. Discover and forecast Data Science and AI/ML technologies and products advancing mission capabilities. Scout and perform market analysis assessing the potential of new products, support technology transfer and adoption. Provide independent assessment of projects regarding technical risk including risk definition, assessment, prioritizing, and mitigation. Review technical challenges, propose recommended courses of action and document. Provide technical expertise providing detailed understanding of current systems and potential system improvements; may involve modeling, prototyping. Apply techniques and methods for technology development and efforts at all stages of the life cycle management process. Conduct investigative activities to improve existing products or procedures. Provide highly specialized knowledge and expertise to support requirements or issues related to threats and vulnerability, policy and regulations, intelligence, and optimizing organizational processes and needs. Qualifications Must possess and be able to maintain a TS/SCI clearance with Polygraph. BS 10-12, MS 8-10, PhD 5-7 Advanced experience in statistical analysis and modeling, using SQL, R, Excel, Python. Excellent interpersonal skills to successfully meet project specifications. 8+ years of direct experience in advanced modeling, big data environments, relational database structures, and statistics. Direct experience with Machine Learning techniques (beyond logistic regression to Neural Networks, SVM, K-NN). Ability to create interactive tools using cutting-edge visualization techniques (beyond standard visualization software like Tableau, Spotfire, Qlikview). Experience evaluating and prioritizing all incoming analytical requests. Communicate effectively with team members, managers, sponsors and business partners throughout the project lifecycle (project updates, scope changes, challenges, date changes). Desired Skills Minimum 2-5 years of experience in design and development of relational databases. Experience in design and development of multi-dimensional databases, cubes and data warehouses. 6 - 10+ years of experience in design and development of relational databases. 3 - 5+ years of experience in design and development of multi-dimensional databases, cubes, data warehouses. Microsoft SQL Server certifications is a plus. 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.