Senior Data Scientist

Leidos is seeking a Senior AI/Data Scientist to drive advanced AI development for a strategic Defense Threat Reduction Agency (DTRA) contract executed in direct partnership with the Defense Intelligence Agency (DIA). You will work within a multi-disciplinary team of engineers scientists and software developers to physically and functionally characterize hardened facilities and Weapons of Mass Destruction (WMD) processes in order to create physics based models capable of supporting various simulations. This role supports customers operating in classified environments and requires close collaboration with subject matter experts designers engineers analysts and mission stakeholders to deliver innovative operationally relevant data science and AI solutions. The Senior Data Scientist will lead complex analytics efforts across the full solution lifecyclefrom problem definition and requirements development through design implementation deployment and ongoing operations and maintenance (O&M). The ideal candidate brings deep technical expertise strong mission awareness and the ability to communicate analytic insights to senior decision-makers.

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Key Responsibilities

• Serve as a senior technical contributor and analytic lead on complex high-impact national security programs
• Partner with government customers and subject matter experts to define mission problems and analytic objectives
• Translate ambiguous operational challenges into actionable data science requirements and solution designs
• Design develop and deploy advanced analytics statistical models and machine learning solutions
• Apply advanced data science techniques including exploratory data analysis feature engineering predictive modeling hypothesis testing and algorithm development
  • Architect and deploy advanced machine learning models (e.g. Physics-Informed Neural Networks Generative AI) that fuse engineering data with first-principles physics.
• Translate and integrate structured and unstructured data from diverse sources across classified environments into physical and functional characteristic models for hardened facilities and WMD processes to support effects-based simulations.
• Communicate analytic findings insights and recommendations to senior technical and non-technical stakeholders. Bridge the gap between software engineers intelligence analysts and domain scientists to integrate data pipelines and transition proof-of-concepts into production.
• Support deployment monitoring and ongoing operations and maintenance (O&M) of analytic solutions
• Design test and deploy AI-driven software solutions to dramatically increase the efficiency scale and accuracy of engineering and scientific assessments.
• Architect deploy and maintain advanced AI/ML pipeline components across disparate security enclaves transitioning models from low-side development environments to the High Side.
• Apply data science and AI algorithms to streamline overall program management resource allocation and mission execution metrics.
• Mentor and guide junior data scientists and contribute to analytic standards best practices and reusable frameworks
• Maintain awareness of emerging data science AI and big-data technologies relevant to national security missions

Required Qualifications

• U.S. Citizenship is required
• Candidate must be eligible to obtain a TS/SCI w/ poly level clearance
• Masters degree in Data Science Computer Science Statistics Mathematics Engineering or a related quantitative field with 15 years of relevant experience or Bachelors degree with 18 years of relevant experience
• Extensive experience applying data science and advanced analytics to complex mission-focused problems
• Expert-level proficiency in Python and/or R including advanced data science and machine learning libraries
• Strong experience working with large complex datasets from multiple sources
• Proven experience developing testing deploying and maintaining software applications and AI models within a JWICS (Joint Worldwide Intelligence Communications System) network environment.
• Understanding of secure cross-domain solutions (CDS) data-transfer protocols and the deployment of MLOps pipelines across air-gapped systems
• Demonstrated ability to lead technical efforts and influence analytic direction on large or complex programs
• Strong written and verbal communication skills including briefing senior leaders

Preferred Qualifications

• Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial Cloud Services (C2S).
• Experience with Agile Scrum Development/Agile methodology.
• Experience supporting intelligence community Department of Defense or other national security customers
• Experience operating in classified computing environments
• Expertise in one or more advanced domains such as machine learning natural language processing computer vision graph analytics or predictive modeling
• Experience with cloud-based or enterprise analytics platforms
• Demonstrated experience mentoring technical staff or serving as a technical lead
• Demonstrated experience providing instruction instructional design or curriculum development

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

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Pay Range:

The Leidos pay range for this job level is a general guideline onlyand 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.