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# Data Scientist

- **Company:** CareerCircle
- **Location:** Odenton, MD, United States
- **Experience:** Expert
- **Salary:** $131,300.0 - $237,350.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Artificial Intelligence, Business Analytics Applications, JIRA, Microsoft Azure, Bioinformatics, C++ (Programming Language), Signals Intelligence, Cyber Security, Information Engineering, Data Visualization, Microprocessors, Distributed Systems, Elasticsearch, Field-Programmable Gate Array (FPGA), Revision Control Systems, Graph Database, Apache Hadoop, Information Retrieval, Intelligence Analysis, Data Intelligence, Python (Programming Language), Machine Learning, Language Modeling, Neo4j, Open Source Technology, OpenShift, Power BI, SQL Databases, Subversion, Tableau (Software), Data Processing, Scripting, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Apache Spark, Social Network Analysis, Malware, Git, Scikit Learn, Kubernetes, Information Technology, Streamlit Framework, Cyber Warfare, GPT, Software Version Control, Devsecops, Docker
- **Published:** June 18, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/md/rockville/43c13176-0f48-4d34-8c17-6b2c43cbf4a5

## About the Role

Social Sciences
Active Learning
Knowledge Graph
Ancient History
Computer Science
Machine Learning
Data Engineering
Docker (Software)
Apache Subversion
Advanced Analytics
Hardware Platforms
Intelligence Agency
Geospatial Analysis
Statistical Analysis
Top Secret Clearance
Predictive Analytics
Explainable AI (XAI)
Supply Chain Analysis
Intelligence Analysis
Information Retrieval
Artificial Intelligence
Large Language Modeling
Social Network Analysis
Creative Problem Solving
SQL (Programming Language)
Product Family Engineering
Git (Version Control System)
Python (Programming Language)
Scikit-Learn (Python Package), Are you ready to thrive? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path., * 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, OpenShift)., * 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.

## Description

Neo4j
Physics
Teamwork
Research
Equities
Scripting
OpenShift
DevSecOps
LangChain
Streamlit
Innovation
Algorithms
Kubernetes
Statistics
Data Types
Mathematics
Market Data
Data Science
Observability
Apache Hadoop
Cyber Security
Version Control, * 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, DevSecOps, 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)., 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. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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