Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Are you a TS/SCI cleared Senior Software Engineer that likes to perform research-level development of AI enabled capabilities and analytics? Come support a major program advancing the state of the art in mission-focused big data and predictive analytics. You will be delivering cutting edge capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a data discovery platform to produce and analyze results, disseminate findings, and contribute to publications and presentations. Work on evaluating and testing emerging AI/ML solutions to complex multi-modal data problems. Bring your mix of intellectual curiosity, quantitative acumen, and customer-focus to identify novel sources of data across a range of fields, to improve the performance of predictive algorithms, and to encourage user adoption of high-end data analytics platforms in partnership with a highly qualified, highly motivated team. Leverage your strong background in research design, exploratory analysis, quantitative methods, user interface application design, and experience with customer outreach and engagement Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science with 12+ years of experience or Master’s Degree or equivalent graduate degree including certificate-based advanced training courses with 10+ ~12+ years of experience in software engineering, data science, analytics, or quantitative intelligence analysis, and demonstrating progressive technical development and outcomes. ~ Must have proficiency in Python programming language. ~ Experience working with a hybrid team of analysts, engineers, and developers to conduct research, and build and deploy complex, but easy-to-use algorithms and analytical platforms ~ Track record of active learning and creative problem solving. ~ Ability to analyze and assess software development or data acquisition requirements and determine optimum, cost-effective solutions. ~ A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes. Significant experience dealing with at least two of the following data classes: open source, publicly available information (PAI); measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics Structured Query Language (SQL), and/or Elastic Stack (Elasticsearch and Kibana) Deployment of data science applications (e.g. Experience with Knowledge Graphs and KG tech such as neo4j or graph ML. Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing. Familiarity utilizing virtualization and distributed field systems, such as virtual environments and Hadoop (or similar distributed file systems) in development and deployment environments. Experience with Amazon Web Services (AWS/C2S) Familiarity with hardware platforms, e.g., Familiarity or experience with building applications around Large Language Models, Agentic AI Familiarity with Kubernetes - deploying and managing applications January 22, 2026 Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. Securing Your Data Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., com automated system – never from free commercial services (e.g., If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.