Principal Scientist- Computational Sensing… at Leidos · Remote

Principal Scientist- Computational Sensing Intelligence Location: 6314 Remote/Teleworker US Leidos’ Security Enterprise Solutions (SES) operation is seeking a motivated and talented Principal Scientist to join our multidisciplinary, highly energized, and expert data science team. Leidos is a leading innovator in deploying AI solutions, and we are dedicated to pushing the boundaries of technology and data-driven insights. Join our dynamic team and be part of shaping the future and make global impact in border security. We are seeking a Principal Scientist to lead our computational sensing intelligence team and work with a team of talented research scientists, data scientists, and machine learning engineers on data science solutions for our portfolio of products that help safeguard security checkpoints and ports and border crossings worldwide. The ideal candidate is a senior level subject matter expert who excels at understanding requirements defined by business needs and crafting solutions that are ready to be delivered to a product deployment team. A track record of excellence in management of scientists and algorithm developers is also desired. Key Responsibilities: People Leadership & Team Development - Provide functional management to a team of data scientists across varying levels of seniority Delivery & Execution Leadership - Own technical delivery outcomes, ensuring tasks are executed on time and aligned to the project requirements Technical Oversight - Review and influence modeling approaches, experimentation design, and analytical rigor Strategy & Stakeholder Engagement - Translate business problems into actionable data science strategies Communicate technical concepts clearly to senior leadership and non-technical stakeholders Help define best practices, standards, and reusable patterns for data science work Required Qualifications: Data Science & Technical Foundation MS or Ph.D. in Data Science, Engineering, Applied Science/Mathematics, Statistics, or a similar discipline and a minimum of 10 years of industry experience Expert understanding of data science concepts such as artificial intelligence, statistical modeling, machine learning, experimentation, and analytics Hands-on experience with CNN-based machine learning architectures, e.g., ResNet, Yolo, U-Net Familiarity in solving inverse problems e.g., iSAR, CT reconstruction, etc. Familiarity working on image segmentation, object detection, and classification for 2D or 3D data sets Ability to evaluate technical readiness of approaches developed internally and in academia Guide and influence technical decision-making on projects Experience in functional management of research scientists and algorithm developers Strong track record of delivery ownership and cross-functional collaboration Ability to multitask across projects Excellent communication skills, both written and verbal Some travel is required in support of projects (< 25%) Ability to obtain and maintain Public Trust access. Desired / Nice-to-Have Qualifications: Experience working with images from medical, security, or NDT devices Experience defining data science standards and best practices Experience creating and using tools that generate synthetic data for imaging applications Experience working on DHS contracts If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: May 14, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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.