Senior Data Scientist

Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Join Leidos’ all-star team supporting the Defense Intelligence Agency’s Enterprise Digital Modernization Accelerator initiative. This program is at the forefront of deploying enterprise-scale AI, data, and mission platform capabilities across cloud, edge, and classified environments. We are looking for creative, driven, and mission-focused professionals ready to take their career to the next level.

• Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
• Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
• Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
• Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
• Contribute to the integration of AI, Dev Sec Ops , data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment.
• Enjoy flexible work arrangements, including remote and on‑site work in the National Capital Region (Rockville, MD and/or Alexandria, VA).

• Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
• 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s).
• Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
• Proficiency in Python and at least one other scripting language.
• Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms.
• Track record of creative problem solving, active learning, and mission‑focused outcomes.
• Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, Open Shift).

• Experience supporting military or intelligence community customers.
• Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
• Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
• Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
• Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.

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.